arthurcollet/FastApply-1.5B-v1.0-mlx-8bit
This model arthurcollet/FastApply-1.5B-v1.0-mlx-8bit was converted to MLX format from Kortix/FastApply-1.5B-v1.0 using mlx-lm version 0.30.6.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("arthurcollet/FastApply-1.5B-v1.0-mlx-8bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
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Model size
0.4B params
Tensor type
BF16
·
U32
·
Hardware compatibility
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8-bit
Model tree for arthurcollet/FastApply-1.5B-v1.0-mlx-8bit
Base model
Kortix/FastApply-1.5B-v1.0