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LFM2.5-2.6B-MLX-8bit

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.

Model Details

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/LFM2.5-2.6B-MLX-8bit")

response = generate(
    model,
    tokenizer,
    prompt="The capital of France is",
    max_tokens=100,
    sampler=make_sampler(temp=0.7),
    verbose=True,
)

Other Precisions

• LFM2.5-2.6B-MLX-bf16 (5.02 GB)
• LFM2.5-2.6B-MLX-8bit (2.67 GB)
• LFM2.5-2.6B-MLX-6bit (2.04 GB)
• LFM2.5-2.6B-MLX-5bit (1.76 GB)
• LFM2.5-2.6B-MLX-4bit (1.47 GB)
• LFM2.5-2.6B-MLX-mxfp8 (2.59 GB)
• LFM2.5-2.6B-MLX-mxfp4 (1.46 GB)
• LFM2.5-2.6B-MLX-nvfp4 (1.53 GB)

License

This model is released under the LFM 1.0 License.