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LFM2.5-1.2B-JP-8bit

MLX export of LFM2.5-1.2B-JP for Apple Silicon inference.

LFM2.5-JP is a Japanese language model based on the LFM2.5 hybrid architecture, optimized for Japanese text generation and completion tasks.

Model Details

Property	Value
Parameters	1.2B
Precision	8-bit
Group Size	64
Context Length	128K

Recommended Sampling Parameters

Parameter	Value
temperature	0.3
min_p	0.15
repetition_penalty	1.05
max_tokens	512

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate
from mlx_lm.sample_utils import make_sampler, make_logits_processors

model, tokenizer = load("LiquidAI/LFM2.5-1.2B-JP-8bit")

prompt = "東京は日本の"

sampler = make_sampler(temp=0.3, min_p=0.15)
logits_processors = make_logits_processors(repetition_penalty=1.05)

response = generate(
    model,
    tokenizer,
    prompt=prompt,
    max_tokens=512,
    sampler=sampler,
    logits_processors=logits_processors,
    verbose=True,
)