Downloads · 30 days
2.2K
45% of all-time downloads
LiquidAI/LFM2.5-2.6B-MLX-4bit
LFM2.5-2.6B-MLX-4bit 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
2.2K
45% of all-time downloads
All-time downloads
4.9K
Public
Parameters
2.7B
1.6 GB on disk
Likes
4
Public
Click a slice to open those files.
.safetensors1.6 GB · 99%
How the weights are stored.
U322.7B · 100%
From the Hugging Face model README
MLX export of LFM2.5-2.6B for Apple Silicon inference.
LFM2.5-2.6B is a compact multilingual model built on LiquidAI's hybrid architecture, combining convolutional and attention layers for efficient long-context processing.
| Property | Value |
|---|---|
| Parameters | 2.6B |
| Precision | 4-bit |
| Group Size | 64 |
| Size | 1.47 GB |
| Context Length | 131072 |
pip install mlx-lm
from mlx_lm import load, generate
from mlx_lm.sample_utils import make_sampler
model, tokenizer = load("LiquidAI/LFM2.5-2.6B-MLX-4bit")
response = generate(
model,
tokenizer,
prompt="The capital of France is",
max_tokens=100,
sampler=make_sampler(temp=0.7),
verbose=True,
)
This model is released under the LFM 1.0 License.