metadata
license: apache-2.0
datasets:
- HuggingFaceTB/cosmopedia
- EleutherAI/proof-pile-2
- bigcode/the-stack-dedup
- math-ai/AutoMathText
language:
- en
metrics:
- accuracy
- code_eval
base_model: TencentARC/Mistral_Pro_8B_v0.1
tags:
- TensorBlock
- GGUF
TencentARC/Mistral_Pro_8B_v0.1 - GGUF
This repo contains GGUF format model files for TencentARC/Mistral_Pro_8B_v0.1.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Mistral_Pro_8B_v0.1-Q2_K.gguf | Q2_K | 3.361 GB | smallest, significant quality loss - not recommended for most purposes |
| Mistral_Pro_8B_v0.1-Q3_K_S.gguf | Q3_K_S | 3.915 GB | very small, high quality loss |
| Mistral_Pro_8B_v0.1-Q3_K_M.gguf | Q3_K_M | 4.354 GB | very small, high quality loss |
| Mistral_Pro_8B_v0.1-Q3_K_L.gguf | Q3_K_L | 4.736 GB | small, substantial quality loss |
| Mistral_Pro_8B_v0.1-Q4_0.gguf | Q4_0 | 5.091 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Mistral_Pro_8B_v0.1-Q4_K_S.gguf | Q4_K_S | 5.129 GB | small, greater quality loss |
| Mistral_Pro_8B_v0.1-Q4_K_M.gguf | Q4_K_M | 5.415 GB | medium, balanced quality - recommended |
| Mistral_Pro_8B_v0.1-Q5_0.gguf | Q5_0 | 6.198 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Mistral_Pro_8B_v0.1-Q5_K_S.gguf | Q5_K_S | 6.198 GB | large, low quality loss - recommended |
| Mistral_Pro_8B_v0.1-Q5_K_M.gguf | Q5_K_M | 6.365 GB | large, very low quality loss - recommended |
| Mistral_Pro_8B_v0.1-Q6_K.gguf | Q6_K | 7.374 GB | very large, extremely low quality loss |
| Mistral_Pro_8B_v0.1-Q8_0.gguf | Q8_0 | 9.550 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/Mistral_Pro_8B_v0.1-GGUF --include "Mistral_Pro_8B_v0.1-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/Mistral_Pro_8B_v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'