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MiniCPM-2B-sft-fp32-GGUF

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metadata
license: other
license_name: gml
license_link: >-
  https://github.com/OpenBMB/General-Model-License/blob/main/%E9%80%9A%E7%94%A8%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE-%E6%9D%A5%E6%BA%90%E8%AF%B4%E6%98%8E-%E5%AE%A3%E4%BC%A0%E9%99%90%E5%88%B6-%E5%95%86%E4%B8%9A%E6%8E%88%E6%9D%83.md
language:
  - en
  - zh
tags:
  - MiniCPM
  - ModelBest
  - THUNLP
  - TensorBlock
  - GGUF
base_model: openbmb/MiniCPM-2B-sft-fp32
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openbmb/MiniCPM-2B-sft-fp32 - GGUF

This repo contains GGUF format model files for openbmb/MiniCPM-2B-sft-fp32.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template 

{system_prompt}<用户>{prompt}<AI>

Model file specification

Filename Quant type File Size Description
MiniCPM-2B-sft-fp32-Q2_K.gguf Q2_K 1.204 GB smallest, significant quality loss - not recommended for most purposes
MiniCPM-2B-sft-fp32-Q3_K_S.gguf Q3_K_S 1.355 GB very small, high quality loss
MiniCPM-2B-sft-fp32-Q3_K_M.gguf Q3_K_M 1.481 GB very small, high quality loss
MiniCPM-2B-sft-fp32-Q3_K_L.gguf Q3_K_L 1.564 GB small, substantial quality loss
MiniCPM-2B-sft-fp32-Q4_0.gguf Q4_0 1.609 GB legacy; small, very high quality loss - prefer using Q3_K_M
MiniCPM-2B-sft-fp32-Q4_K_S.gguf Q4_K_S 1.682 GB small, greater quality loss
MiniCPM-2B-sft-fp32-Q4_K_M.gguf Q4_K_M 1.802 GB medium, balanced quality - recommended
MiniCPM-2B-sft-fp32-Q5_0.gguf Q5_0 1.914 GB legacy; medium, balanced quality - prefer using Q4_K_M
MiniCPM-2B-sft-fp32-Q5_K_S.gguf Q5_K_S 1.948 GB large, low quality loss - recommended
MiniCPM-2B-sft-fp32-Q5_K_M.gguf Q5_K_M 2.045 GB large, very low quality loss - recommended
MiniCPM-2B-sft-fp32-Q6_K.gguf Q6_K 2.367 GB very large, extremely low quality loss
MiniCPM-2B-sft-fp32-Q8_0.gguf Q8_0 2.899 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/MiniCPM-2B-sft-fp32-GGUF --include "MiniCPM-2B-sft-fp32-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/MiniCPM-2B-sft-fp32-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'