KoarAI/LFM2.5-350M-Thinking-GGUF overview
license: apache 2.0 base model: KoarAI/LFM2.5 350M Thinking tags: gguf llama.cpp ollama quantized reasoning thinking lfm liquid q4 k m q8 0 koarai language: en…
Runs locally from ~209.2 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| LFM2.5-350M-Thinking-Q4_0.gguf | GGUF | Q4_0 | 209.2 MB | Download |
| LFM2.5-350M-Thinking-Q4_K_M.gguf | GGUF | Q4_K_M | 218.7 MB | Download |
| LFM2.5-350M-Thinking-Q5_K_M.gguf | GGUF | Q5_K_M | 248.3 MB | Download |
| LFM2.5-350M-Thinking-Q8_0.gguf | GGUF | Q8_0 | 361.7 MB | Download |
| LFM2.5-350M-Thinking-f16.gguf | GGUF | F16 | 678.5 MB | Download |
Model Details
| Model ID | KoarAI/LFM2.5-350M-Thinking-GGUF |
|---|---|
| Author | KoarAI |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | KoarAI/LFM2.5-350M-Thinking |
| Last modified | 2026-08-27T08:46:00.000Z |
Model README
---
license: apache-2.0
base_model: KoarAI/LFM2.5-350M-Thinking
tags:
- gguf
- llama.cpp
- ollama
- quantized
- reasoning
- thinking
- lfm
- liquid
- q4_k_m
- q8_0
- koarai
language:
- en
- ru
- zh
pipeline_tag: text-generation
library_name: gguf
---
<div align="center">
<img src="https://huggingface.co/KoarAI/LFM2.5-350M-Thinking-GGUF/resolve/main/gguf_banner.png" alt="KoarAI LFM2.5-350M Thinking GGUF Banner" width="100%" style="border-radius: 12px; box-shadow: 0 4px 20px rgba(0,0,0,0.3);"/>
🐨 KoarAI / LFM2.5-350M-Thinking-GGUF




</div>
🌟 Overview
This repository contains official GGUF format quantizations of KoarAI/LFM2.5-350M-Thinking, an ultra-lightweight reasoning model trained with Full Fine-Tuning on multi-teacher reasoning distillation traces (Qwen 3.8 Max, GLM 5.2, and Kimi K3).
These GGUF files are ready for high-speed inference across llama.cpp, Ollama, LM Studio, Jan.ai, and mobile/edge devices.
---
📦 Available Quantizations
| File | Format | Quantization Detail | Size | Recommended Use Case |
| :--- | :--- | :--- | :--- | :--- |
| LFM2.5-350M-Thinking-f16.gguf | F16 | Full unquantized 16-bit float | ~710 MB | Maximum accuracy, baseline |
| LFM2.5-350M-Thinking-Q8_0.gguf | Q8_0 | High quality 8-bit quantization | ~375 MB | Near-lossless reasoning fidelity |
| LFM2.5-350M-Thinking-Q5_K_M.gguf| Q5_K_M | Balanced 5-bit k-quant | ~260 MB | Great balance of speed & reasoning |
| LFM2.5-350M-Thinking-Q4_K_M.gguf| Q4_K_M | Recommended 4-bit k-quant | ~220 MB | Best default for laptops and edge |
| LFM2.5-350M-Thinking-Q4_0.gguf | Q4_0 | Fast standard 4-bit | ~205 MB | Ultra-fast execution on CPU |
---
⚡ Quickstart with Ollama
Create a Modelfile:
FROM ./LFM2.5-350M-Thinking-Q4_K_M.gguf
TEMPLATE """<|im_start|>system
{{ .System }}<|im_end|>
{{- range .Messages }}
<|im_start|>{{ .Role }}
{{ .Content }}<|im_end|>
{{- end }}
<|im_start|>assistant
<think>
"""
PARAMETER stop "<|im_end|>"
PARAMETER temperature 0.6
PARAMETER top_p 0.9
Run in terminal:
ollama create koarai-350m -f Modelfile
ollama run koarai-350m "How many 'r' in strawberry?"
---
💻 Quickstart with llama.cpp
./llama-cli -m ./LFM2.5-350M-Thinking-Q4_K_M.gguf \
-p "<|im_start|>user\nSolve: 2x + 10 = 24<|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.
Run KoarAI/LFM2.5-350M-Thinking-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models