LFM2.5-1.2B-JP-MLX-5bit

LiquidAI/LFM2.5-1.2B-JP-MLX-5bit

LFM2.5-1.2B-JP-MLX-5bit is a text generation model from LiquidAI. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as other.

<div align="center" <img src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" alt="Liquid AI" style="width: 100%; max-width: 100%; height: auto; display: inlin…

Downloads · 30 days

234

25% of all-time downloads

All-time downloads

932

Public

Parameters

1.2B

805 MB on disk

Likes

Public

Hugging Face

Repo makeup

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.safetensors805 MB · 99%

Parameter types

How the weights are stored.

U321.2B · 100%

Base models

LiquidAI/LFM2.5-1.2B-JP

Model card

From the Hugging Face model README

<div align="center"> <img src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" alt="Liquid AI" style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;" /> <div style="display: flex; justify-content: center; gap: 0.5em; margin-bottom: 1em;"> <a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> • <a href="https://docs.liquid.ai/lfm"><strong>Documentation</strong></a> • <a href="https://leap.liquid.ai/"><strong>LEAP</strong></a> </div> </div>

LFM2.5-1.2B-JP-5bit

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	5-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-5bit")

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,
)

License

This model is released under the LFM 1.0 License.

Task: Text Generation
Library: mlx
Type: lfm2
License: other
Languages: ja, en
Created: Jan 6, 2026
Updated: Jan 7, 2026