🐨 KoarAI / LFM2.5-350M-Thinking-0003-GGUF
[!NOTE] This is the official GGUF quantized release of
KoarAI/LFM2.5-350M-Thinking-0003for local edge inference with llama.cpp, Ollama, LM Studio, Jan, and other compatible inference engines.
📌 Release Note: Model Revision 0003
[!IMPORTANT] Model Revision:
0003
Key Architecture & Dataset Improvements:
- Anti-Overfitting Training Policy: Trained with a calibrated 2.1 epochs limit with a cosine learning rate scheduler (
lr=2.5e-5), preventing catastrophic forgetting and repetition loops while preserving pristine generation fluency.- Multi-Teacher Distillation Mix (~1,550 hand-crafted samples):
r0b0tlab/qwen3.8-max-distillation-50k(quality_score >= 6): Deep mathematical, algorithmic, and code reasoning distilled directly from Qwen 3.8 Max.open-thoughts/OpenThoughts-114k: Step-by-step verification and multi-hop Chain-of-Thought traces encapsulated in<think>blocks.TIGER-Lab/MMLU-Pro: Complex STEM, business, logic, and law benchmark multiple-choice reasoning.Vikhrmodels/GrandMaster-PRO-MAX: High-quality natural Russian conversational mastery and instruction following.
🌟 Overview
KoarAI/LFM2.5-350M-Thinking-0003 is an ultra-compact, high-efficiency hybrid reasoning language model featuring native Chain-of-Thought (CoT) thinking capabilities.
Built upon the state-of-the-art Liquid Foundation Model architecture (LiquidAI/LFM2.5-350M), this model underwent 100% Full Parameter Fine-Tuning in bfloat16 precision. Despite having only 350 Million parameters, it produces structured internal step-by-step logic inside native <think> ... </think> blocks before delivering clean, concise final answers.
💾 Available GGUF Files
| Filename | Quantization | Size | Recommended Use |
|---|---|---|---|
LFM2.5-350M-Thinking-0003-f16.gguf | FP16 | ~700 MB | Maximum precision and fidelity |
💡 Native Thinking Mode Example
<|im_start|>user
Сколько букв 'р' в слове 'программирование'?<|im_end|>
<|im_start|>assistant
<think>
1. Слово: 'программирование'.
2. Разберем по буквам: п-р-о-г-р-а-м-м-и-р-о-в-а-н-и-е.
3. Позиции буквы 'р':
- 2-я буква: 'р' (п-Р-о...)
- 5-я буква: 'р' (...г-Р-а...)
- 10-я буква: 'р' (...и-Р-о...)
4. Итого: 3 буквы 'р'.
</think>
В слове «программирование» содержится **3** буквы «р».<|im_end|>
⚡ Quickstart with llama.cpp
# Run CLI
llama-cli -m LFM2.5-350M-Thinking-0003-f16.gguf -p "<|im_start|>user\nSolve: 32 + 32 - 42<|im_end|>\n<|im_start|>assistant\n<think>\n" -n 512 --temp 0.6
🐨 Maintained by KoarAI Lab
Released for the open-source AI community by KoarAI.