MODEL PROFILE

MiniCPM5-2B-Math-GGUF

Caldalis · MiniCPM5-2B-Math-GGUF

GGUF builds of MiniCPM5-2B-Math, a 2.5B math and proof specialist, for llama.cpp, Ollama and LM Studio. Pair it with the MiniCPM-Math Harness to run a small proof swarm on a laptop. Converted with llama.cpp b10964 (`convert_hf_to_gguf.py`, tokenizer pre-type `minicpm5`) and quantized with `llama-quantize`. The recommended sampling settings (temperature 0.9, top-p 0.95, min-p 0, top-k off) are embedded in the GGUF metadata, so llama.cpp uses them by default. All results on the model card were measured with the BF16 safetensors on vLLM. Start the server with a larger context window (for example `OLLAMA_CONTEXT_LENGTH=65536 ollama serve`), because proofs routinely need tens of thousands of tokens. With the harness, pass `--base-url http://127.0.0.1:11434/v1 --model hf.co/Caldalis/MiniCPM5-2B-Math-GGUF:Q8_0 --no-raw`.

Text generationreasoninglicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/30 08:53:15
OVERVIEW

Model overview

GGUF builds of MiniCPM5-2B-Math, a 2.5B math and proof specialist, for llama.cpp, Ollama and LM Studio. Pair it with the MiniCPM-Math Harness to run a small proof swarm on a laptop. Converted with llama.cpp b10964 (`convert_hf_to_gguf.py`, tokenizer pre-type `minicpm5`) and quantized with `llama-quantize`. The recommended sampling settings (temperature 0.9, top-p 0.95, min-p 0, top-k off) are embedded in the GGUF metadata, so llama.cpp uses them by default. All results on the model card were measured with the BF16 safetensors on vLLM. Start the server with a larger context window (for example `OLLAMA_CONTEXT_LENGTH=65536 ollama serve`), because proofs routinely need tens of thousands of tokens. With the harness, pass `--base-url http://127.0.0.1:11434/v1 --model hf.co/Caldalis/MiniCPM5-2B-Math-GGUF:Q8_0 --no-raw`.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。