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LFM2.5-1.2B-JP-bf16

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	bfloat16
Size	2.18 GB
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-bf16")

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,
)