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Sponsored by
APIMart
LiquidAI / LFM2.5-350M-MLX-4bit
Model's Last Updated: April 02 2026
text-generation
Introduction of LFM2.5-350M-MLX-4bit
Model Details of LFM2.5-350M-MLX-4bit
LFM2.5-350M-MLX-4bit
MLX export of LFM2.5-350M for Apple Silicon inference.
LFM2.5-350M is a compact multilingual base model built on LiquidAI's hybrid architecture, combining convolutional and attention layers for efficient long-context processing.
Model Details
| Property | Value |
|---|---|
| Parameters | 350M |
| Precision | 4-bit |
| Group Size | 64 |
| Size | 212 MB |
| Context Length | 128K |
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
from mlx_lm.sample_utils import make_sampler
model, tokenizer = load("LiquidAI/LFM2.5-350M-MLX-4bit")
response = generate(
model,
tokenizer,
prompt="The capital of France is",
max_tokens=100,
sampler=make_sampler(temp=0.7),
verbose=True,
)
Other Precisions
- LFM2.5-350M-MLX-bf16 (676 MB)
- LFM2.5-350M-MLX-8bit (381 MB)
- LFM2.5-350M-MLX-6bit (296 MB)
- LFM2.5-350M-MLX-5bit (254 MB)
- LFM2.5-350M-MLX-4bit (212 MB)
License
This model is released under the LFM 1.0 License .
Runs of LiquidAI LFM2.5-350M-MLX-4bit on huggingface.co
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More Information About LFM2.5-350M-MLX-4bit huggingface.co Model
Url of LFM2.5-350M-MLX-4bit
LFM2.5-350M-MLX-4bit huggingface.co Url
Provider of LFM2.5-350M-MLX-4bit huggingface.co
Other API from LiquidAI
Updated:August 25 2026
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