metadata
language:
- en
- zh
tags:
- MiniCPM
- ModelBest
- THUNLP
- TensorBlock
- GGUF
base_model: openbmb/MiniCPM-2B-dpo-fp16
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
openbmb/MiniCPM-2B-dpo-fp16 - GGUF
This repo contains GGUF format model files for openbmb/MiniCPM-2B-dpo-fp16.
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-dpo-fp16-Q2_K.gguf | Q2_K | 1.204 GB | smallest, significant quality loss - not recommended for most purposes |
| MiniCPM-2B-dpo-fp16-Q3_K_S.gguf | Q3_K_S | 1.355 GB | very small, high quality loss |
| MiniCPM-2B-dpo-fp16-Q3_K_M.gguf | Q3_K_M | 1.481 GB | very small, high quality loss |
| MiniCPM-2B-dpo-fp16-Q3_K_L.gguf | Q3_K_L | 1.564 GB | small, substantial quality loss |
| MiniCPM-2B-dpo-fp16-Q4_0.gguf | Q4_0 | 1.609 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| MiniCPM-2B-dpo-fp16-Q4_K_S.gguf | Q4_K_S | 1.682 GB | small, greater quality loss |
| MiniCPM-2B-dpo-fp16-Q4_K_M.gguf | Q4_K_M | 1.802 GB | medium, balanced quality - recommended |
| MiniCPM-2B-dpo-fp16-Q5_0.gguf | Q5_0 | 1.914 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| MiniCPM-2B-dpo-fp16-Q5_K_S.gguf | Q5_K_S | 1.948 GB | large, low quality loss - recommended |
| MiniCPM-2B-dpo-fp16-Q5_K_M.gguf | Q5_K_M | 2.045 GB | large, very low quality loss - recommended |
| MiniCPM-2B-dpo-fp16-Q6_K.gguf | Q6_K | 2.367 GB | very large, extremely low quality loss |
| MiniCPM-2B-dpo-fp16-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-dpo-fp16-GGUF --include "MiniCPM-2B-dpo-fp16-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-dpo-fp16-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'