MODEL PROFILE · 模型档案

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`.

译文排队中,当前展示来源原文。

文本生成reasoninglicense:apache-2.0
上下文窗口来源未披露
输入 → 输出文本 → 文本
模型权重待核验
档案更新时间2026/11/2 19:15:43
OVERVIEW

模型介绍

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`.

主要特点

特点摘要待依据来源补齐,不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价,不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价,请查阅来源渠道。

按月估算基础 Token 费用

—

预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

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。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用?

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗?

不是实时结算价格,而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

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。