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abenzerps/MiniCPM5-2B-GGUF overview

MiniCPM5 2B GGUF GGUF quantizations of OpenBMB/MiniCPM5 2B https://huggingface.co/openbmb/MiniCPM5 2B , a 2B dense Llama based model for local deployment, codi…

ggufllama.cppminicpm5long-context131k-contextdensetool-callingtext-generationconversationalenzhbase_model:openbmb/MiniCPM5-2Bbase_model:quantized:openbmb/MiniCPM5-2Blicense:apache-2.0region:us

Runs locally from ~925.9 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation
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Repository Files & Downloads

11 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
MiniCPM5-2B-IQ2_M.ggufGGUFIQ2_M925.9 MBDownload
MiniCPM5-2B-IQ3_M.ggufGGUFIQ3_M1.14 GBDownload
MiniCPM5-2B-IQ4_XS.ggufGGUFIQ4_XS1.33 GBDownload
MiniCPM5-2B-Q2_K.ggufGGUFQ2_K991.8 MBDownload
MiniCPM5-2B-Q3_K_M.ggufGGUFQ3_K_M1.20 GBDownload
MiniCPM5-2B-Q4_0.ggufGGUFQ4_01.39 GBDownload
MiniCPM5-2B-Q4_K_M.ggufGGUFQ4_K_M1.45 GBDownload
MiniCPM5-2B-Q4_K_S.ggufGGUFQ4_K_S1.40 GBDownload
MiniCPM5-2B-Q5_K_M.ggufGGUFQ5_K_M1.68 GBDownload
MiniCPM5-2B-Q6_K.ggufGGUFQ6_K1.93 GBDownload
MiniCPM5-2B-Q8_0.ggufGGUFQ8_02.50 GBDownload

Model Details

Model IDabenzerps/MiniCPM5-2B-GGUF
Authorabenzerps
Pipelinetext-generation
Licenseapache-2.0
Base modelopenbmb/MiniCPM5-2B
Last modified2026-09-07T23:51:55.000Z

Model README

---

license: apache-2.0

language:

- en

- zh

base_model: openbmb/MiniCPM5-2B

base_model_relation: quantized

pipeline_tag: text-generation

library_name: gguf

tags:

- gguf

- llama.cpp

- minicpm5

- long-context

- 131k-context

- dense

- tool-calling

---

MiniCPM5-2B GGUF

GGUF quantizations of OpenBMB/MiniCPM5-2B, a 2B dense Llama-based model for local deployment, coding, reasoning, long-context work, and tool use. The source checkpoint supports a native context length of 131,072 tokens (128K).

Benchmarks

!MiniCPM5-2B evaluation results

Benchmark results reported by OpenBMB for the original MiniCPM5-2B checkpoint.

!MiniCPM5-2B capability radar

Capability comparison reported by OpenBMB for the original MiniCPM5-2B checkpoint.

GGUF files

| Quantization | File | Size |

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

| Q2_K | MiniCPM5-2B-Q2_K.gguf | 1.04 GB |

| Q3_K_M | MiniCPM5-2B-Q3_K_M.gguf | 1.29 GB |

| Q4_0 | MiniCPM5-2B-Q4_0.gguf | 1.49 GB |

| Q4_K_S | MiniCPM5-2B-Q4_K_S.gguf | 1.50 GB |

| Q4_K_M | MiniCPM5-2B-Q4_K_M.gguf | 1.56 GB |

| Q5_K_M | MiniCPM5-2B-Q5_K_M.gguf | 1.81 GB |

| Q6_K | MiniCPM5-2B-Q6_K.gguf | 2.07 GB |

| Q8_0 | MiniCPM5-2B-Q8_0.gguf | 2.68 GB |

| IQ2_M | MiniCPM5-2B-IQ2_M.gguf | 0.97 GB |

| IQ3_M | MiniCPM5-2B-IQ3_M.gguf | 1.23 GB |

| IQ4_XS | MiniCPM5-2B-IQ4_XS.gguf | 1.42 GB |

The model is text-only. No vision projector or MTP files are included. The IQ files use an importance matrix generated from WikiText-2 and are intended for recent llama.cpp builds. SHA-256 checksums are provided in SHA256SUMS.txt.

Chat template

The GGUF files embed the upstream chat template. chat_template.jinja is provided as an external copy for runtimes that require a separate template file.

Usage

Use a current llama.cpp build with MiniCPM5 support. The example below uses an 8K context; increase -c up to 131072 when sufficient memory is available.

llama-cli \
  -m MiniCPM5-2B-Q4_K_M.gguf \
  -c 8192 --jinja \
  --temp 1.0 --top-p 0.95 \
  -p "Explain why reproducible builds matter."

For an OpenAI-compatible server:

llama-server \
  -m MiniCPM5-2B-Q4_K_M.gguf \
  -c 8192 --jinja --host 0.0.0.0 --port 8080

Tool-call behavior depends on the serving runtime's parser and API integration; use the embedded template and verify tool calls in the target application.

Source

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