---

pipeline_tag: text-generation

base_model:

• openbmb/MiniCPM5-2B

license: apache-2.0

license_name: apache-2.0

library_name: llama-cpp

tags:

• minicpm5
• text-generation
• gguf
• quantized

languages:

• en
• zh

---

MiniCPM5-2B NVFP4 GGUF

GGUF quantized version of openbmb/MiniCPM5-2B, the second model in the MiniCPM5 series. It is a dense 2B Transformer (LlamaForCausalLM) built for on-device, local deployment, and resource-constrained scenarios, reaching 2B-class open-source SOTA.

Model Overview

MiniCPM5-2B is designed for local assistants, coding agents, tool-use workflows, and reasoning scenarios where a compact model is preferred. It keeps a small deployment footprint while providing native long-context support (131,072 tokens), and was post-trained with RL + OPD (On-Policy Distillation). It supports a chat template with thinking/reasoning mode (controlled via enable_thinking) and XML-style tool calling.

Model Architecture

| Property | Value |

| :--------------------------- | :----------------------- |

| Architecture | LlamaForCausalLM (dense) |

| Total Parameters | 2.52B |

| Non-Embedding Parameters | 1.98B |

| Layers | 42 |

| Attention Heads (GQA) | 16 Q / 2 KV |

| Context Length | 131,072 (128K) |

| Original Precision | bfloat16 |

| Supported Languages | en, zh |

Available GGUF Files

| File | Quantization | Size | Use Case |

| :------------------------------ | :----------- | :----- | :----------------------------------------- |

| minicpm5-2b-nvfp4.gguf | NVFP4 | 1.4 GB | 4-bit NVFP4, compact, quality/size balance |

| minicpm5-2b-dspark-nvfp4.gguf | NVFP4 | 1.4 GB | Draft model |

Usage

llama.cpp CLI

./llama-cli \
  -m minicpm5-2b-nvfp4.gguf \
  -p "Explain quantum computing in simple terms." \
  --temp 1.0 --top-p 0.95

llama-server (OpenAI-compatible API)

./llama-server \
  -m minicpm5-2b-nvfp4.gguf \
  --host 0.0.0.0 --port 8080

The GGUF also works with Ollama and LM Studio.

Thinking Mode

The model supports deep-thinking output. You can control it per request via the chat template, e.g. with an OpenAI-compatible API:

"chat_template_kwargs": {"enable_thinking": false}

Tool Calling

MiniCPM5-2B emits XML-style tool calls. Tool definitions are injected into the prompt, and tool results are returned in the observation/tool role. SGLang's built-in minicpm5 parser converts these to OpenAI-compatible tool_calls natively (see upstream model card).

Generation Parameters

Recommended parameters from the original model:

| Parameter | Value |

| :---------- | :---- |

| Temperature | 1.0 |

| Top-P | 0.95 |

Quantization

This GGUF was quantized to NVFP4 (a 4-bit floating-point format) from the BF16 source model, verified with llama.cpp's GGUF reader. All weight tensors use NVFP4; the embedding/output and norm tensors are kept in higher precision (Q6_K / F32) to preserve quality. Recommended sampling settings are stored in the file's metadata: temperature 1.0, top-p 0.95.

Acknowledgements

• Original model: openbmb/MiniCPM5-2B
• Quantization tool: llama.cpp

License

Apache-2.0 License