lfm2.5-thinking

lfm2.5-thinking:latest

2,541 Downloads Updated yesterday

LFM2.5 is a new family of hybrid models designed for on-device deployment.

1.2b

ollama run lfm2.5-thinking

curl http://localhost:11434/api/chat \
  -d '{
    "model": "lfm2.5-thinking",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='lfm2.5-thinking',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'lfm2.5-thinking',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Details

Updated yesterday

yesterday

95bd9d45385f · 731MB ·

model

archlfm2

·

parameters1.17B

·

quantizationQ4_K_M

731MB

license

LICENSE TEXT LFM Open License v1.0 TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. D

11kB

params

{ "temperature": 0.05, "top_k": 50 }

32B

Readme

Note: this model requires a version of Ollama that’s currently in pre-release.

LFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.

Best-in-class performance: A 1.2B model rivaling much larger models, bringing high-quality AI to your pocket.

LFM2.5-1.2B-Thinking is a general-purpose text-only model with the following features:

Number of parameters: 1.17B
Number of layers: 16 (10 double-gated LIV convolution blocks + 6 GQA blocks)
Training budget: 28T tokens
Context length: 32,768 tokens
Vocabulary size: 65,536
Languages: English, Arabic, Chinese, French, German, Japanese, Korean, Spanish

Benchmarks

We compared LFM2.5-1.2B-Thinking with relevant sub-2B models on a diverse suite of benchmarks.

Model	GPQA Diamond	MMLU-Pro	IFEval	IFBench	Multi-IF	GSM8K	MATH-500	AIME25	BFCLv3
LFM2.5-1.2B-Thinking	37.86	49.65	88.42	44.85	69.33	85.60	87.96	31.73	56.97
Qwen3-1.7B (thinking)	36.93	56.68	71.65	25.88	60.33	85.60	81.92	36.27	55.41
LFM2.5-1.2B-Instruct	38.89	44.35	86.23	47.33	60.98	64.52	63.20	14.00	49.12
Qwen3-1.7B (instruct)	34.85	42.91	73.68	21.33	56.48	33.66	70.40	9.33	46.30
Granite-4.0-H-1B	24.34	27.64	80.08	24.93	47.56	69.60	47.20	1	50.69
Gemma 3 1B IT	24.24	14.04	63.25	20.47	44.31	42.15	45.20	1	16.64
Llama 3.2 1B Instruct	16.57	20.80	52.37	15.93	30.16	39.04	23.40	0.33	21.44

![image.png](/assets/library/lfm2.5-thinking/0f3b101a-f2ef-4a5c-a0bb-a8edecac35e3)

> Note: this model requires a version of Ollama that's currently in pre-release.

LFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.

Best-in-class performance: A 1.2B model rivaling much larger models, bringing high-quality AI to your pocket.

LFM2.5-1.2B-Thinking is a general-purpose text-only model with the following features:

- Number of parameters: 1.17B
- Number of layers: 16 (10 double-gated LIV convolution blocks + 6 GQA blocks)
- Training budget: 28T tokens
- Context length: 32,768 tokens
- Vocabulary size: 65,536
- Languages: English, Arabic, Chinese, French, German, Japanese, Korean, Spanish

### Benchmarks

We compared LFM2.5-1.2B-Thinking with relevant sub-2B models on a diverse suite of benchmarks.

| Model | GPQA Diamond | MMLU-Pro | IFEval | IFBench | Multi-IF | GSM8K | MATH-500 | AIME25 | BFCLv3 |
|-------|--------------|----------|--------|---------|----------|-------|----------|--------|--------|
| **LFM2.5-1.2B-Thinking** | 37.86 | 49.65 | 88.42 | 44.85 | 69.33 | 85.60 | 87.96 | 31.73 | 56.97 |
| Qwen3-1.7B (thinking) | 36.93 | 56.68 | 71.65 | 25.88 | 60.33 | 85.60 | 81.92 | 36.27 | 55.41 |
| LFM2.5-1.2B-Instruct | 38.89 | 44.35 | 86.23 | 47.33 | 60.98 | 64.52 | 63.20 | 14.00 | 49.12 |
| Qwen3-1.7B (instruct) | 34.85 | 42.91 | 73.68 | 21.33 | 56.48 | 33.66 | 70.40 | 9.33 | 46.30 |
| Granite-4.0-H-1B | 24.34 | 27.64 | 80.08 | 24.93 | 47.56 | 69.60 | 47.20 | 1 | 50.69 |
| Gemma 3 1B IT | 24.24 | 14.04 | 63.25 | 20.47 | 44.31 | 42.15 | 45.20 | 1 | 16.64 |
| Llama 3.2 1B Instruct | 16.57 | 20.80 | 52.37 | 15.93 | 30.16 | 39.04 | 23.40 | 0.33 | 21.44 |

Paste, drop or click to upload images (.png, .jpeg, .jpg, .svg, .gif)