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Browse filesCo-authored-by: Sahin-Lale <Sahin-Lale@users.noreply.huggingface.co>
- .gitattributes +37 -0
- LICENSE +177 -0
- NOTICE.md +6 -0
- README.md +214 -0
- assets/bonsai-logo.svg +1 -0
- manifest.json +131 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder-mlx-4bit/added_tokens.json +28 -0
- text_encoder-mlx-4bit/config.json +38 -0
- text_encoder-mlx-4bit/merges.txt +0 -0
- text_encoder-mlx-4bit/model.safetensors +3 -0
- text_encoder-mlx-4bit/model.safetensors.index.json +911 -0
- text_encoder-mlx-4bit/special_tokens_map.json +31 -0
- text_encoder-mlx-4bit/tokenizer.json +3 -0
- text_encoder-mlx-4bit/tokenizer_config.json +240 -0
- text_encoder-mlx-4bit/vocab.json +0 -0
- tokenizer/added_tokens.json +28 -0
- tokenizer/chat_template.jinja +89 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +31 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer_config.json +239 -0
- tokenizer/vocab.json +0 -0
- transformer-packed-mflux/config.json +27 -0
- transformer-packed-mflux/diffusion_pytorch_model.safetensors +3 -0
- transformer-packed-mflux/quantization_config.json +120 -0
- vae/config.json +40 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
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LICENSE
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NOTICE.md
ADDED
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This software is copyright 2026-present Prism ML, Inc. It is available under the Apache 2.0 license.
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If you publicly deploy or redistribute this software, we would appreciate attribution such as: "Created using Bonsai Image by Prism ML."
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This software is built from FLUX.2 [klein] 4B, Copyright 2026 Black Forest Labs, which is available under the Apache 2.0 License: https://huggingface.co/black-forest-labs/FLUX.2-klein-4B/blob/main/LICENSE.md
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The text encoder is built from Qwen3-4B, Copyright 2024 Alibaba Cloud, which is available under the Apache 2.0 License: https://huggingface.co/Qwen/Qwen3-4B/blob/main/LICENSE
|
README.md
ADDED
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|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: mlx
|
| 4 |
+
pipeline_tag: text-to-image
|
| 5 |
+
tags:
|
| 6 |
+
- ternary
|
| 7 |
+
- 1.58-bit
|
| 8 |
+
- mlx
|
| 9 |
+
- apple-silicon
|
| 10 |
+
- on-device
|
| 11 |
+
- text-to-image
|
| 12 |
+
- diffusion
|
| 13 |
+
- flux
|
| 14 |
+
- prismml
|
| 15 |
+
- bonsai
|
| 16 |
+
base_model:
|
| 17 |
+
- prism-ml/bonsai-image-ternary-4B-unpacked
|
| 18 |
+
---
|
| 19 |
+
|
| 20 |
+
<p align="center">
|
| 21 |
+
<img src="./assets/bonsai-logo.svg" width="280" alt="Bonsai Image">
|
| 22 |
+
</p>
|
| 23 |
+
|
| 24 |
+
<p align="center">
|
| 25 |
+
<a href="https://prismml.com"><b>Prism ML Website</b></a> |
|
| 26 |
+
<a href="https://github.com/PrismML-Eng/Bonsai-Image-Demo/blob/main/bonsai-image-4b-whitepaper.pdf"><b>White Paper</b></a> |
|
| 27 |
+
<a href="https://github.com/PrismML-Eng/Bonsai-Image-Demo"><b>Demo & Examples</b></a> |
|
| 28 |
+
<a href="https://discord.gg/prismml"><b>Discord</b></a>
|
| 29 |
+
</p>
|
| 30 |
+
|
| 31 |
+
# bonsai-image-ternary-4B-mlx-2bit
|
| 32 |
+
|
| 33 |
+
Ternary weight (1.58-bit) text-to-image diffusion transformer deployment for Apple Silicon
|
| 34 |
+
|
| 35 |
+
> **1.21 GB transformer** | **6.4×** smaller than FP16 | **9.4 s / 512²** on iPhone 17 Pro Max | **~6 s / 512²** on M4 Pro | runs on Mac, iPhone, iPad
|
| 36 |
+
|
| 37 |
+
## Highlights
|
| 38 |
+
|
| 39 |
+
- **1.21 GB** diffusion transformer, down from **7.75 GB** for the FP16 FLUX.2 Klein 4B transformer
|
| 40 |
+
- Ternary {−1, 0, +1} transformer weights with FP16 group-wise scaling in the matrix-heavy transformer layers (Q/K/V projections, output projections, MLP weights)
|
| 41 |
+
- Quality-oriented Bonsai Image variant: the additional zero state improves visual quality and prompt fidelity while keeping the transformer compact
|
| 42 |
+
- 3.88 GB Apple Silicon deployment payload including the 4-bit text encoder and FP16 VAE — text encoder is offloaded after prompt encode, so the denoising loop only keeps the compact transformer and VAE resident
|
| 43 |
+
- 4-step FlowMatch-Euler sampler with guidance = 1.0 and shift = 3.0 — no CFG, no negative prompts needed
|
| 44 |
+
- MLX-native 2-bit format for Apple Silicon, the same kernel path as our ternary language-model releases
|
| 45 |
+
- Cross-platform companion: also available as [gemlite 2-bit](https://huggingface.co/prism-ml/bonsai-image-ternary-4B-gemlite-2bit) for NVIDIA GPUs
|
| 46 |
+
|
| 47 |
+
## Resources
|
| 48 |
+
|
| 49 |
+
- **[White Paper](https://github.com/PrismML-Eng/Bonsai-Image-Demo/blob/main/bonsai-image-4b-whitepaper.pdf)** — full benchmarks, kernels, and memory analysis
|
| 50 |
+
- **[Demo repo](https://github.com/PrismML-Eng/Bonsai-Image-Demo)** — one-command setup for Mac / Linux / Windows
|
| 51 |
+
- **[Discord](https://discord.gg/prismml)** — community + support
|
| 52 |
+
- **Kernels**: [MLX](https://github.com/ml-explore/mlx) (Apple Silicon) · [mlx-swift](https://github.com/ml-explore/mlx-swift) (iOS / macOS) — 2-bit format is supported out of the box
|
| 53 |
+
|
| 54 |
+
## Model Overview
|
| 55 |
+
|
| 56 |
+
| Item | Specification |
|
| 57 |
+
| :-------------------- | :-------------------------------------------------------------------------------------|
|
| 58 |
+
| Base architecture | FLUX.2 Klein 4B (MMDiT diffusion transformer) |
|
| 59 |
+
| Parameters | ~4.0B (transformer trunk) |
|
| 60 |
+
| Blocks | 25 MMDiT blocks: 5 double-stream + 20 single-stream |
|
| 61 |
+
| Sampler | FlowMatchEuler, **4 steps**, guidance = 1.0, shift = 3.0 |
|
| 62 |
+
| Text encoder | Qwen3-4B at 4-bit (≈ 2.28 GB on-device, offloaded after prompt encode) |
|
| 63 |
+
| VAE | Flux2 32-channel latent, tiled decode (128 px tiles) |
|
| 64 |
+
| Native resolution | 1024×1024 (also supports 512×512 and arbitrary multiples of 32) |
|
| 65 |
+
| Weight format | MLX 2-bit g128, ternary values + FP16 group-wise scales |
|
| 66 |
+
| **Transformer size** | **1.21 GB** (6.4× smaller than 7.75 GB FP16) |
|
| 67 |
+
| Total payload | **3.88 GB** (4.1x smaller than the 15.97 GB FP16 transformer + text encoder + VAE) |
|
| 68 |
+
| Ternary coverage | All 100 matmul-heavy linears in the 25 MMDiT blocks |
|
| 69 |
+
| License | Apache 2.0 |
|
| 70 |
+
|
| 71 |
+
## Ternary Weight Representation: 1.58-bit g128
|
| 72 |
+
|
| 73 |
+
Each ternary weight takes a value from {−1, 0, +1} with one shared FP16 scale per group of 128 weights:
|
| 74 |
+
|
| 75 |
+
```
|
| 76 |
+
w_i = scale_g * t_i, t_i in {−1, 0, +1}
|
| 77 |
+
```
|
| 78 |
+
|
| 79 |
+
Ternary values carry log₂(3) ≈ 1.585 bits of information per weight. With one FP16 scale per group of 128, the effective storage is
|
| 80 |
+
|
| 81 |
+
```
|
| 82 |
+
b_eff ≈ log2(3) + 16/128 ≈ 1.585 + 0.125 ≈ 1.71 bits/weight
|
| 83 |
+
```
|
| 84 |
+
|
| 85 |
+
This gives an idealized **9.4× reduction** relative to FP16 for the ternary transformer layers. A small set of precision-sensitive supporting tensors remains in FP16, so the final Ternary Bonsai Image 4B diffusion transformer is **1.21 GB**, a 6.4× reduction from the 7.75 GB FP16 FLUX.2 Klein 4B transformer.
|
| 86 |
+
|
| 87 |
+
The ternary representation is applied to the matrix-heavy transformer layers, including Q / K / V projections, output projections, MLP linears, and the double-stream add-K / Q / V linears. Supporting tensors (less than 5% of the total parameters) such as modulation streams, embedders, output norm, and output projection remain FP16 for image quality and stability.
|
| 88 |
+
|
| 89 |
+
The MLX deployment uses a 2-bit packed format. Ternary values are stored in 2-bit slots, with the fourth code unused. The model-level Bonsai representation is **1.21 GB**; the deployed MLX pack is **1.43 GB** on disk due to runtime packing and alignment overhead in the current MLX path.
|
| 90 |
+
|
| 91 |
+
### Memory
|
| 92 |
+
|
| 93 |
+
| Format | Transformer size | Reduction | Ratio |
|
| 94 |
+
| :------------------------------ | ---------------: | --------: | -------: |
|
| 95 |
+
| FP16 FLUX.2 Klein 4B | 7.75 GB | — | 1.0× |
|
| 96 |
+
| **Ternary Bonsai Image 4B** | **1.21 GB** | **84.4%** | **6.4×** |
|
| 97 |
+
|
| 98 |
+
Apple Silicon deployment:
|
| 99 |
+
|
| 100 |
+
| Component | Size |
|
| 101 |
+
| :------------------------------ | ------: |
|
| 102 |
+
| MLX 2-bit diffusion transformer | 1.43 GB |
|
| 103 |
+
| Compressed text encoder | 2.28 GB |
|
| 104 |
+
| FP16 VAE | 0.17 GB |
|
| 105 |
+
| **Total payload** | **3.88 GB** |
|
| 106 |
+
|
| 107 |
+
At runtime, the text encoder is offloaded after prompt encoding. During denoising, the repeated image-generation loop is dominated by the compact ternary diffusion transformer and active image-generation components rather than the full payload.
|
| 108 |
+
|
| 109 |
+
End-to-end Mac M4 Pro mean-active memory pressure at 1024² is **2.38 GB** — a **6.0×** reduction vs the stock FP16 MFLUX pipeline (14.39 GB).
|
| 110 |
+
|
| 111 |
+
|
| 112 |
+
## Best Practices
|
| 113 |
+
|
| 114 |
+
- Sampler: FlowMatchEuler-discrete with 4 steps, guidance = 1.0 (no classifier-free guidance), shift = 3.0. The model is designed for 4 steps; running more steps does not improve quality significantly and can introduce artifacts.
|
| 115 |
+
- Resolution: native 1024² is the design target; 512² works for quick previews.
|
| 116 |
+
- Aspect ratios: multiples of 32 are supported, including 832×1248 and 1248×832.
|
| 117 |
+
- Prompting: natural-language prompts. Negative prompts are not required.
|
| 118 |
+
- Runtime memory: the text encoder is offloaded after prompt encoding, so the denoising loop is memory-light.
|
| 119 |
+
|
| 120 |
+
## Quickstart
|
| 121 |
+
|
| 122 |
+
### MLX (Python)
|
| 123 |
+
|
| 124 |
+
The simplest path is the [Bonsai Image Demo repo](https://github.com/PrismML-Eng/Bonsai-Image-Demo), which sets up the full Bonsai Studio (FastAPI backend + Next.js frontend):
|
| 125 |
+
|
| 126 |
+
```bash
|
| 127 |
+
git clone https://github.com/PrismML-Eng/Bonsai-Image-Demo.git
|
| 128 |
+
cd Bonsai-Image-Demo
|
| 129 |
+
./setup.sh
|
| 130 |
+
./scripts/download_model.sh # ternary is the default
|
| 131 |
+
./scripts/serve.sh
|
| 132 |
+
```
|
| 133 |
+
|
| 134 |
+
For a one-shot render without the studio frontend:
|
| 135 |
+
|
| 136 |
+
```bash
|
| 137 |
+
./scripts/generate.sh --prompt "A bonsai tree in a quiet ceramic studio, soft morning light"
|
| 138 |
+
```
|
| 139 |
+
|
| 140 |
+
### MLX Swift (iOS / macOS)
|
| 141 |
+
|
| 142 |
+
Ternary Bonsai Image 4B runs natively on iPhone and iPad via MLX Swift. Bonsai Studio for iPhone is available on the App Store and ships ternary as the default variant.
|
| 143 |
+
|
| 144 |
+
## Throughput (MLX / Apple Silicon)
|
| 145 |
+
|
| 146 |
+
Mac M4 Pro (48 GB unified memory), 4 denoising steps, fixed prompt and seed:
|
| 147 |
+
|
| 148 |
+
| Resolution | s / step | s / image (mean ± std) | vs stock MFLUX FP16 |
|
| 149 |
+
| :------------ | -------: | ---------------------: | ------------------: |
|
| 150 |
+
| 512 × 512 | 1.44 | 5.78 ± 0.08 s | **3.15×** |
|
| 151 |
+
| 1024 × 1024 | 6.06 | **24.26 ± 0.24 s** | **5.56×** |
|
| 152 |
+
|
| 153 |
+
iPhone 17 Pro Max (A19 Pro, 12 GB unified memory), MLX Swift, same methodology:
|
| 154 |
+
|
| 155 |
+
| Resolution | s / step | s / image |
|
| 156 |
+
| :------------ | -------: | --------: |
|
| 157 |
+
| 128 × 128 | 0.68 | 2.7 s |
|
| 158 |
+
| 256 × 256 | 1.00 | 4.0 s |
|
| 159 |
+
| 512 × 512 | 2.35 | **9.4 s** |
|
| 160 |
+
| 1024 × 1024 | 8.50 | **34.0 s**|
|
| 161 |
+
|
| 162 |
+
Stock FP16 FLUX.2 Klein 4B does not fit within iPhone 17 Pro Max's 12 GB unified memory budget; Bonsai Image 4B models do.
|
| 163 |
+
|
| 164 |
+
## Benchmarks
|
| 165 |
+
|
| 166 |
+
Evaluated with matched generation settings across the comparison set on H100. GenEval uses the official 512x512 protocol. For HPSv3 and DPG-Bench, larger-backbone rows are evaluated at 1024x1024, while smaller-backbone rows are evaluated at their native 512x512 setting. Higher is better for all three benchmarks.
|
| 167 |
+
|
| 168 |
+
| Model | Transformer (GB) | GenEval | HPSv3 | DPG-Bench |
|
| 169 |
+
| :--------------------------- | ---------------: | ------: | -----: | --------: |
|
| 170 |
+
| **Bonsai Image · Ternary 4B**| **1.21** | **0.723** | **12.22** | **0.851** |
|
| 171 |
+
| **Bonsai Image · Binary 4B** | **0.93** | **0.671** | **11.15** | **0.822** |
|
| 172 |
+
| FLUX.2 Klein 4B | 7.75 | 0.819 | 12.84 | 0.853 |
|
| 173 |
+
| FLUX.1-schnell | 23.8 | 0.716 | 12.67 | 0.848 |
|
| 174 |
+
| SDXL | 5.14 | 0.300 | 10.05 | 0.740 |
|
| 175 |
+
| PixArt-Σ XL 2 | 1.20 | 0.541 | 11.93 | 0.769 |
|
| 176 |
+
| Stable Diffusion 1.5 | 1.72 | 0.396 | 4.20 | 0.601 |
|
| 177 |
+
| BK-SDM-Small | 0.98 | 0.297 | 3.05 | 0.559 |
|
| 178 |
+
|
| 179 |
+
The benchmark results show the intended quality-footprint trade-off. Ternary Bonsai Image 4B is the quality-oriented variant: at 1.21 GB, it sits very close to FLUX.2 Klein 4B across GenEval, HPSv3, and DPG-Bench while reducing the diffusion transformer footprint by 6.4x. The binary companion is the footprint-oriented variant, reducing the diffusion transformer below 1 GB while still delivering strong benchmark results.
|
| 180 |
+
|
| 181 |
+
Together, the Bonsai Image variants move the quality-footprint frontier: they bring modern diffusion-transformer behavior into a memory range previously occupied by much smaller, lower-capability models.
|
| 182 |
+
|
| 183 |
+
## Use Cases
|
| 184 |
+
|
| 185 |
+
- **Local creative tooling**: image generation directly on Mac, iPhone, and iPad
|
| 186 |
+
- **Private generation**: prompts and generated assets can remain local
|
| 187 |
+
- **Rapid iteration**: lower local latency and no remote queue for iterative creative workflows
|
| 188 |
+
- **Mobile deployment**: image generation on devices with unified-memory, thermal, and connectivity constraints
|
| 189 |
+
- **Commodity-GPU serving**: lower transformer footprint and reduced memory pressure through the companion CUDA deployment
|
| 190 |
+
- **Enterprise and controlled inference**: local or private environments for data residency and compliance-sensitive workflows
|
| 191 |
+
|
| 192 |
+
## Limitations
|
| 193 |
+
|
| 194 |
+
- Ternary Bonsai Image 4B is not bit-identical to the FP16 FLUX.2 Klein 4B model; it is a compact ternary-weight deployment designed to deliver similar practical behavior at much smaller size.
|
| 195 |
+
- Image-generation quality remains prompt- and workflow-dependent. Small text, fine details, object counts, and strict compositional constraints should be evaluated for the target use case.
|
| 196 |
+
- Current commodity inference stacks do not yet expose fully native ternary execution as a standard hardware path. This release uses practical MLX low-bit kernel paths on Apple Silicon and Gemlite low-bit GEMM on CUDA.
|
| 197 |
+
- After the diffusion transformer is made compact, other components such as the VAE can become more visible memory bottlenecks. The runtime mitigates this with text-encoder offload and tiled VAE decoding.
|
| 198 |
+
|
| 199 |
+
|
| 200 |
+
## Citation
|
| 201 |
+
|
| 202 |
+
```bibtex
|
| 203 |
+
@techreport{bonsaiimage4b,
|
| 204 |
+
title = {Bonsai Image 4B: Low-Bit Diffusion on Apple Silicon and Consumer GPUs},
|
| 205 |
+
author = {Prism ML},
|
| 206 |
+
year = {2026},
|
| 207 |
+
month = {May},
|
| 208 |
+
url = {https://prismml.com}
|
| 209 |
+
}
|
| 210 |
+
```
|
| 211 |
+
|
| 212 |
+
## Contact
|
| 213 |
+
|
| 214 |
+
For questions, feedback, or collaboration inquiries: **contact@prismml.com**
|
assets/bonsai-logo.svg
ADDED
|
manifest.json
ADDED
|
@@ -0,0 +1,131 @@
|
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scheduler/scheduler_config.json
ADDED
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@@ -0,0 +1,18 @@
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{
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|
| 17 |
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|
| 18 |
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|
text_encoder-mlx-4bit/added_tokens.json
ADDED
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@@ -0,0 +1,28 @@
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text_encoder-mlx-4bit/config.json
ADDED
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@@ -0,0 +1,38 @@
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| 3 |
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|
| 4 |
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|
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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|
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|
| 30 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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| 38 |
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text_encoder-mlx-4bit/merges.txt
ADDED
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The diff for this file is too large to render.
See raw diff
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text_encoder-mlx-4bit/model.safetensors
ADDED
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text_encoder-mlx-4bit/model.safetensors.index.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 2262920192
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
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"model.embed_tokens.biases": "model.safetensors",
|
| 7 |
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|
| 8 |
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"model.embed_tokens.weight": "model.safetensors",
|
| 9 |
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|
| 10 |
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"model.layers.0.mlp.down_proj.biases": "model.safetensors",
|
| 11 |
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"model.layers.0.mlp.down_proj.scales": "model.safetensors",
|
| 12 |
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"model.layers.0.mlp.down_proj.weight": "model.safetensors",
|
| 13 |
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"model.layers.0.mlp.gate_proj.biases": "model.safetensors",
|
| 14 |
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"model.layers.0.mlp.gate_proj.scales": "model.safetensors",
|
| 15 |
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|
| 16 |
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"model.layers.0.mlp.up_proj.biases": "model.safetensors",
|
| 17 |
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"model.layers.0.mlp.up_proj.scales": "model.safetensors",
|
| 18 |
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"model.layers.0.mlp.up_proj.weight": "model.safetensors",
|
| 19 |
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"model.layers.0.post_attention_layernorm.weight": "model.safetensors",
|
| 20 |
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"model.layers.0.self_attn.k_norm.weight": "model.safetensors",
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| 21 |
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"model.layers.0.self_attn.k_proj.biases": "model.safetensors",
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| 22 |
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"model.layers.0.self_attn.k_proj.scales": "model.safetensors",
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| 23 |
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|
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|
| 887 |
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|
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|
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|
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|
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|
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|
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|
| 898 |
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|
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|
| 900 |
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|
| 901 |
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|
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|
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|
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|
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|
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|
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|
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|
| 910 |
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|
| 911 |
+
}
|
text_encoder-mlx-4bit/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
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|
| 23 |
+
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|
| 24 |
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"pad_token": {
|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
text_encoder-mlx-4bit/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
text_encoder-mlx-4bit/tokenizer_config.json
ADDED
|
@@ -0,0 +1,240 @@
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|
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|
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|
|
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|
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|
| 1 |
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{
|
| 2 |
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"add_bos_token": false,
|
| 3 |
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|
| 4 |
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"added_tokens_decoder": {
|
| 5 |
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"151643": {
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"special": true
|
| 20 |
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},
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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"special": true
|
| 28 |
+
},
|
| 29 |
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"151646": {
|
| 30 |
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"content": "<|object_ref_start|>",
|
| 31 |
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|
| 32 |
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|
| 33 |
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"rstrip": false,
|
| 34 |
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|
| 35 |
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"special": true
|
| 36 |
+
},
|
| 37 |
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"151647": {
|
| 38 |
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"content": "<|object_ref_end|>",
|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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"special": true
|
| 44 |
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},
|
| 45 |
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"151648": {
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
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|
| 54 |
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|
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
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|
| 62 |
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|
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
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|
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 100 |
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|
| 101 |
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"151655": {
|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
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|
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|
| 108 |
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|
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|
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|
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|
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
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|
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|
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|
| 124 |
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|
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|
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|
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|
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|
| 132 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 148 |
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|
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|
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|
| 151 |
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|
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|
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|
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|
| 156 |
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|
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|
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|
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|
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|
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
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|
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|
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|
| 171 |
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|
| 172 |
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|
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|
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|
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|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
| 231 |
+
"clean_up_tokenization_spaces": false,
|
| 232 |
+
"eos_token": "<|im_end|>",
|
| 233 |
+
"errors": "replace",
|
| 234 |
+
"extra_special_tokens": {},
|
| 235 |
+
"model_max_length": 131072,
|
| 236 |
+
"pad_token": "<|endoftext|>",
|
| 237 |
+
"split_special_tokens": false,
|
| 238 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 239 |
+
"unk_token": null
|
| 240 |
+
}
|
text_encoder-mlx-4bit/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer/added_tokens.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</think>": 151668,
|
| 3 |
+
"</tool_call>": 151658,
|
| 4 |
+
"</tool_response>": 151666,
|
| 5 |
+
"<think>": 151667,
|
| 6 |
+
"<tool_call>": 151657,
|
| 7 |
+
"<tool_response>": 151665,
|
| 8 |
+
"<|box_end|>": 151649,
|
| 9 |
+
"<|box_start|>": 151648,
|
| 10 |
+
"<|endoftext|>": 151643,
|
| 11 |
+
"<|file_sep|>": 151664,
|
| 12 |
+
"<|fim_middle|>": 151660,
|
| 13 |
+
"<|fim_pad|>": 151662,
|
| 14 |
+
"<|fim_prefix|>": 151659,
|
| 15 |
+
"<|fim_suffix|>": 151661,
|
| 16 |
+
"<|im_end|>": 151645,
|
| 17 |
+
"<|im_start|>": 151644,
|
| 18 |
+
"<|image_pad|>": 151655,
|
| 19 |
+
"<|object_ref_end|>": 151647,
|
| 20 |
+
"<|object_ref_start|>": 151646,
|
| 21 |
+
"<|quad_end|>": 151651,
|
| 22 |
+
"<|quad_start|>": 151650,
|
| 23 |
+
"<|repo_name|>": 151663,
|
| 24 |
+
"<|video_pad|>": 151656,
|
| 25 |
+
"<|vision_end|>": 151653,
|
| 26 |
+
"<|vision_pad|>": 151654,
|
| 27 |
+
"<|vision_start|>": 151652
|
| 28 |
+
}
|
tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
tokenizer/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,239 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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|
| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 33 |
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| 38 |
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| 44 |
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| 46 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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|
| 91 |
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|
| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 98 |
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| 99 |
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| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 110 |
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| 111 |
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| 116 |
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| 118 |
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| 119 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 136 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 147 |
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| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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|
| 192 |
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|
| 193 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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|
| 199 |
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| 200 |
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|
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|
| 202 |
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| 203 |
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|
| 204 |
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| 205 |
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| 206 |
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|
| 207 |
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| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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|
| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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}
|
tokenizer/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
transformer-packed-mflux/config.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "Flux2Transformer2DModel",
|
| 3 |
+
"_diffusers_version": "0.37.1",
|
| 4 |
+
"_name_or_path": "black-forest-labs/FLUX.2-klein-4B",
|
| 5 |
+
"attention_head_dim": 128,
|
| 6 |
+
"axes_dims_rope": [
|
| 7 |
+
32,
|
| 8 |
+
32,
|
| 9 |
+
32,
|
| 10 |
+
32
|
| 11 |
+
],
|
| 12 |
+
"enable_time_sign_embed": false,
|
| 13 |
+
"eps": 1e-06,
|
| 14 |
+
"guidance_embeds": false,
|
| 15 |
+
"in_channels": 128,
|
| 16 |
+
"joint_attention_dim": 7680,
|
| 17 |
+
"mlp_ratio": 3.0,
|
| 18 |
+
"musubi_block_swap_device": "cpu",
|
| 19 |
+
"musubi_blocks_to_swap": 0,
|
| 20 |
+
"num_attention_heads": 24,
|
| 21 |
+
"num_layers": 5,
|
| 22 |
+
"num_single_layers": 20,
|
| 23 |
+
"out_channels": null,
|
| 24 |
+
"patch_size": 1,
|
| 25 |
+
"rope_theta": 2000,
|
| 26 |
+
"timestep_guidance_channels": 256
|
| 27 |
+
}
|
transformer-packed-mflux/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b21737bdf02690b7d662907781c4dc8b8bf22a2c98b823b1ca3336f48371a84f
|
| 3 |
+
size 1425271472
|
transformer-packed-mflux/quantization_config.json
ADDED
|
@@ -0,0 +1,120 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"format": "mlx-packed-affine",
|
| 3 |
+
"solver": "ternary",
|
| 4 |
+
"bits": 2,
|
| 5 |
+
"group_size": 128,
|
| 6 |
+
"scale_dtype": "bfloat16",
|
| 7 |
+
"skip_patterns": [
|
| 8 |
+
"proj_out",
|
| 9 |
+
"x_embedder",
|
| 10 |
+
"context_embedder",
|
| 11 |
+
"time_text_embed",
|
| 12 |
+
"time_guidance_embed",
|
| 13 |
+
"norm_out",
|
| 14 |
+
"double_stream_modulation_img",
|
| 15 |
+
"double_stream_modulation_txt",
|
| 16 |
+
"single_stream_modulation"
|
| 17 |
+
],
|
| 18 |
+
"quantized_modules": [
|
| 19 |
+
"single_transformer_blocks.0.attn.to_out",
|
| 20 |
+
"single_transformer_blocks.0.attn.to_qkv_mlp_proj",
|
| 21 |
+
"single_transformer_blocks.1.attn.to_out",
|
| 22 |
+
"single_transformer_blocks.1.attn.to_qkv_mlp_proj",
|
| 23 |
+
"single_transformer_blocks.10.attn.to_out",
|
| 24 |
+
"single_transformer_blocks.10.attn.to_qkv_mlp_proj",
|
| 25 |
+
"single_transformer_blocks.11.attn.to_out",
|
| 26 |
+
"single_transformer_blocks.11.attn.to_qkv_mlp_proj",
|
| 27 |
+
"single_transformer_blocks.12.attn.to_out",
|
| 28 |
+
"single_transformer_blocks.12.attn.to_qkv_mlp_proj",
|
| 29 |
+
"single_transformer_blocks.13.attn.to_out",
|
| 30 |
+
"single_transformer_blocks.13.attn.to_qkv_mlp_proj",
|
| 31 |
+
"single_transformer_blocks.14.attn.to_out",
|
| 32 |
+
"single_transformer_blocks.14.attn.to_qkv_mlp_proj",
|
| 33 |
+
"single_transformer_blocks.15.attn.to_out",
|
| 34 |
+
"single_transformer_blocks.15.attn.to_qkv_mlp_proj",
|
| 35 |
+
"single_transformer_blocks.16.attn.to_out",
|
| 36 |
+
"single_transformer_blocks.16.attn.to_qkv_mlp_proj",
|
| 37 |
+
"single_transformer_blocks.17.attn.to_out",
|
| 38 |
+
"single_transformer_blocks.17.attn.to_qkv_mlp_proj",
|
| 39 |
+
"single_transformer_blocks.18.attn.to_out",
|
| 40 |
+
"single_transformer_blocks.18.attn.to_qkv_mlp_proj",
|
| 41 |
+
"single_transformer_blocks.19.attn.to_out",
|
| 42 |
+
"single_transformer_blocks.19.attn.to_qkv_mlp_proj",
|
| 43 |
+
"single_transformer_blocks.2.attn.to_out",
|
| 44 |
+
"single_transformer_blocks.2.attn.to_qkv_mlp_proj",
|
| 45 |
+
"single_transformer_blocks.3.attn.to_out",
|
| 46 |
+
"single_transformer_blocks.3.attn.to_qkv_mlp_proj",
|
| 47 |
+
"single_transformer_blocks.4.attn.to_out",
|
| 48 |
+
"single_transformer_blocks.4.attn.to_qkv_mlp_proj",
|
| 49 |
+
"single_transformer_blocks.5.attn.to_out",
|
| 50 |
+
"single_transformer_blocks.5.attn.to_qkv_mlp_proj",
|
| 51 |
+
"single_transformer_blocks.6.attn.to_out",
|
| 52 |
+
"single_transformer_blocks.6.attn.to_qkv_mlp_proj",
|
| 53 |
+
"single_transformer_blocks.7.attn.to_out",
|
| 54 |
+
"single_transformer_blocks.7.attn.to_qkv_mlp_proj",
|
| 55 |
+
"single_transformer_blocks.8.attn.to_out",
|
| 56 |
+
"single_transformer_blocks.8.attn.to_qkv_mlp_proj",
|
| 57 |
+
"single_transformer_blocks.9.attn.to_out",
|
| 58 |
+
"single_transformer_blocks.9.attn.to_qkv_mlp_proj",
|
| 59 |
+
"transformer_blocks.0.attn.add_k_proj",
|
| 60 |
+
"transformer_blocks.0.attn.add_q_proj",
|
| 61 |
+
"transformer_blocks.0.attn.add_v_proj",
|
| 62 |
+
"transformer_blocks.0.attn.to_add_out",
|
| 63 |
+
"transformer_blocks.0.attn.to_k",
|
| 64 |
+
"transformer_blocks.0.attn.to_out.0",
|
| 65 |
+
"transformer_blocks.0.attn.to_q",
|
| 66 |
+
"transformer_blocks.0.attn.to_v",
|
| 67 |
+
"transformer_blocks.0.ff.linear_in",
|
| 68 |
+
"transformer_blocks.0.ff.linear_out",
|
| 69 |
+
"transformer_blocks.0.ff_context.linear_in",
|
| 70 |
+
"transformer_blocks.0.ff_context.linear_out",
|
| 71 |
+
"transformer_blocks.1.attn.add_k_proj",
|
| 72 |
+
"transformer_blocks.1.attn.add_q_proj",
|
| 73 |
+
"transformer_blocks.1.attn.add_v_proj",
|
| 74 |
+
"transformer_blocks.1.attn.to_add_out",
|
| 75 |
+
"transformer_blocks.1.attn.to_k",
|
| 76 |
+
"transformer_blocks.1.attn.to_out.0",
|
| 77 |
+
"transformer_blocks.1.attn.to_q",
|
| 78 |
+
"transformer_blocks.1.attn.to_v",
|
| 79 |
+
"transformer_blocks.1.ff.linear_in",
|
| 80 |
+
"transformer_blocks.1.ff.linear_out",
|
| 81 |
+
"transformer_blocks.1.ff_context.linear_in",
|
| 82 |
+
"transformer_blocks.1.ff_context.linear_out",
|
| 83 |
+
"transformer_blocks.2.attn.add_k_proj",
|
| 84 |
+
"transformer_blocks.2.attn.add_q_proj",
|
| 85 |
+
"transformer_blocks.2.attn.add_v_proj",
|
| 86 |
+
"transformer_blocks.2.attn.to_add_out",
|
| 87 |
+
"transformer_blocks.2.attn.to_k",
|
| 88 |
+
"transformer_blocks.2.attn.to_out.0",
|
| 89 |
+
"transformer_blocks.2.attn.to_q",
|
| 90 |
+
"transformer_blocks.2.attn.to_v",
|
| 91 |
+
"transformer_blocks.2.ff.linear_in",
|
| 92 |
+
"transformer_blocks.2.ff.linear_out",
|
| 93 |
+
"transformer_blocks.2.ff_context.linear_in",
|
| 94 |
+
"transformer_blocks.2.ff_context.linear_out",
|
| 95 |
+
"transformer_blocks.3.attn.add_k_proj",
|
| 96 |
+
"transformer_blocks.3.attn.add_q_proj",
|
| 97 |
+
"transformer_blocks.3.attn.add_v_proj",
|
| 98 |
+
"transformer_blocks.3.attn.to_add_out",
|
| 99 |
+
"transformer_blocks.3.attn.to_k",
|
| 100 |
+
"transformer_blocks.3.attn.to_out.0",
|
| 101 |
+
"transformer_blocks.3.attn.to_q",
|
| 102 |
+
"transformer_blocks.3.attn.to_v",
|
| 103 |
+
"transformer_blocks.3.ff.linear_in",
|
| 104 |
+
"transformer_blocks.3.ff.linear_out",
|
| 105 |
+
"transformer_blocks.3.ff_context.linear_in",
|
| 106 |
+
"transformer_blocks.3.ff_context.linear_out",
|
| 107 |
+
"transformer_blocks.4.attn.add_k_proj",
|
| 108 |
+
"transformer_blocks.4.attn.add_q_proj",
|
| 109 |
+
"transformer_blocks.4.attn.add_v_proj",
|
| 110 |
+
"transformer_blocks.4.attn.to_add_out",
|
| 111 |
+
"transformer_blocks.4.attn.to_k",
|
| 112 |
+
"transformer_blocks.4.attn.to_out.0",
|
| 113 |
+
"transformer_blocks.4.attn.to_q",
|
| 114 |
+
"transformer_blocks.4.attn.to_v",
|
| 115 |
+
"transformer_blocks.4.ff.linear_in",
|
| 116 |
+
"transformer_blocks.4.ff.linear_out",
|
| 117 |
+
"transformer_blocks.4.ff_context.linear_in",
|
| 118 |
+
"transformer_blocks.4.ff_context.linear_out"
|
| 119 |
+
]
|
| 120 |
+
}
|
vae/config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKLFlux2",
|
| 3 |
+
"_diffusers_version": "0.37.0.dev0",
|
| 4 |
+
"_name_or_path": "black-forest-labs/FLUX.2-dev",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"batch_norm_eps": 0.0001,
|
| 7 |
+
"batch_norm_momentum": 0.1,
|
| 8 |
+
"block_out_channels": [
|
| 9 |
+
128,
|
| 10 |
+
256,
|
| 11 |
+
512,
|
| 12 |
+
512
|
| 13 |
+
],
|
| 14 |
+
"down_block_types": [
|
| 15 |
+
"DownEncoderBlock2D",
|
| 16 |
+
"DownEncoderBlock2D",
|
| 17 |
+
"DownEncoderBlock2D",
|
| 18 |
+
"DownEncoderBlock2D"
|
| 19 |
+
],
|
| 20 |
+
"force_upcast": true,
|
| 21 |
+
"in_channels": 3,
|
| 22 |
+
"latent_channels": 32,
|
| 23 |
+
"layers_per_block": 2,
|
| 24 |
+
"mid_block_add_attention": true,
|
| 25 |
+
"norm_num_groups": 32,
|
| 26 |
+
"out_channels": 3,
|
| 27 |
+
"patch_size": [
|
| 28 |
+
2,
|
| 29 |
+
2
|
| 30 |
+
],
|
| 31 |
+
"sample_size": 1024,
|
| 32 |
+
"up_block_types": [
|
| 33 |
+
"UpDecoderBlock2D",
|
| 34 |
+
"UpDecoderBlock2D",
|
| 35 |
+
"UpDecoderBlock2D",
|
| 36 |
+
"UpDecoderBlock2D"
|
| 37 |
+
],
|
| 38 |
+
"use_post_quant_conv": true,
|
| 39 |
+
"use_quant_conv": true
|
| 40 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ca70d2202afe6415bdbcb8793ba8cd99fd159cfe6192381504d6c4d3036e0f04
|
| 3 |
+
size 168120878
|