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← Back to Text Models LFM2-2.6B is a versatile mid-sized model delivering strong performance across chat, reasoning, and tool-calling tasks. Optimized for deployment on consumer devices including phones and laptops.

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Specifications

PropertyValue
Parameters2.6B
Context Length32K tokens
ArchitectureLFM2 (Dense)

On-Device

Runs on phones and laptops

Tool Calling

Native function calling support

Fine-tunable

TRL compatible (SFT, DPO, GRPO)

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Quick Start

Install:
pip install transformers torch
Download & Run:
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2-2.6B", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("LiquidAI/LFM2-2.6B")

input_ids = tokenizer.apply_chat_template(
    [{"role": "user", "content": "What is machine learning?"}],
    add_generation_prompt=True, return_tensors="pt"
).to(model.device)

output = model.generate(input_ids, max_new_tokens=256)
print(tokenizer.decode(output[0], skip_special_tokens=True))