---

base_model: Nanbeige/Nanbeige4.2-3B

library_name: gguf

license: apache-2.0

pipeline_tag: text-generation

language:

• en
• zh

tags:

• gguf
• quantized
• llama.cpp
• nanbeige
• code
• agent

---

Nanbeige4.2-3B - GGUF Quants

This repository contains GGUF quantizations for Nanbeige/Nanbeige4.2-3B.

• Original Model: Nanbeige/Nanbeige4.2-3B
• Base Architecture: Looped Transformer (3B non-embedding parameters)
• Quantization Format: GGUF (Q4_K_M, Q4_K_S, Q5_K_M, Q6_K, Q8_0)

---

Available Files & Quantization Details

| File Name | Size | Quant Method | Description |

|---|---|---|---|

| Nanbeige4.2-3B-Q4_K_M.gguf | ~2.57 GB | Q4_K_M | 4-bit medium. Recommended balance of speed, memory usage, and quality. |

| Nanbeige4.2-3B-Q4_K_S.gguf | ~2.50 GB | Q4_K_S | 4-bit small. Slightly lower memory footprint. |

| Nanbeige4.2-3B-Q5_K_M.gguf | ~2.99 GB | Q5_K_M | 5-bit medium. Higher precision with slight increase in size. |

| Nanbeige4.2-3B-Q6_K.gguf | ~3.42 GB | Q6_K | 6-bit quantization. Very close to FP16 performance. |

| Nanbeige4.2-3B-Q8_0.gguf | ~4.43 GB | Q8_0 | 8-bit quantization. Maximum quality for GGUF. |

---

Usage Guide

1. Running with llama.cpp

For full support, clone the official or nanbeige42 fork of llama.cpp:

# Clone the repository with Nanbeige support
git clone -b nanbeige42 [https://github.com/Nanbeige/llama.cpp.git](https://github.com/Nanbeige/llama.cpp.git)
cd llama.cpp

# Build with CUDA support
cmake -B build -DGGML_CUDA=ON
cmake --build build --config Release -j

# Download a model from this repository
huggingface-cli download Abiray/Nanbeige4.2-3B-GGUF Nanbeige4.2-3B-Q4_K_M.gguf --local-dir .

# Run CLI inference
./build/bin/llama-cli -m Nanbeige4.2-3B-Q4_K_M.gguf -ngl 99 -p "Which number is bigger, 9.11 or 9.8?"