LFM2.5-1.2B-Instruct-8bit

MLX export of LFM2.5-1.2B-Instruct for Apple Silicon inference.

Model Details

Recommended Sampling Parameters

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-Instruct-8bit")

prompt = "What is the capital of France?"

if tokenizer.chat_template is not None:
 messages = [{"role": "user", "content": prompt}]
 prompt = tokenizer.apply_chat_template(
 messages, tokenize=False, add_generation_prompt=True
 )

sampler = make_sampler(temp=0.1, top_k=50, top_p=0.1)
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.

Base model

LiquidAI/LFM2.5-1.2B-Base

LiquidAI/LFM2.5-1.2B-Instruct

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