metadata
library_name: transformers
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
- TensorBlock
- GGUF
license: apache-2.0
language:
- en
- vi
base_model: hiieu/Vistral-7B-Chat-function-calling
hiieu/Vistral-7B-Chat-function-calling - GGUF
This repo contains GGUF format model files for hiieu/Vistral-7B-Chat-function-calling.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.
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<s>[INST] <<SYS>>
{system_prompt}
<</SYS>>
{prompt} [/INST]
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Vistral-7B-Chat-function-calling-Q2_K.gguf | Q2_K | 2.749 GB | smallest, significant quality loss - not recommended for most purposes |
| Vistral-7B-Chat-function-calling-Q3_K_S.gguf | Q3_K_S | 3.197 GB | very small, high quality loss |
| Vistral-7B-Chat-function-calling-Q3_K_M.gguf | Q3_K_M | 3.552 GB | very small, high quality loss |
| Vistral-7B-Chat-function-calling-Q3_K_L.gguf | Q3_K_L | 3.855 GB | small, substantial quality loss |
| Vistral-7B-Chat-function-calling-Q4_0.gguf | Q4_0 | 4.145 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Vistral-7B-Chat-function-calling-Q4_K_S.gguf | Q4_K_S | 4.177 GB | small, greater quality loss |
| Vistral-7B-Chat-function-calling-Q4_K_M.gguf | Q4_K_M | 4.405 GB | medium, balanced quality - recommended |
| Vistral-7B-Chat-function-calling-Q5_0.gguf | Q5_0 | 5.037 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Vistral-7B-Chat-function-calling-Q5_K_S.gguf | Q5_K_S | 5.037 GB | large, low quality loss - recommended |
| Vistral-7B-Chat-function-calling-Q5_K_M.gguf | Q5_K_M | 5.171 GB | large, very low quality loss - recommended |
| Vistral-7B-Chat-function-calling-Q6_K.gguf | Q6_K | 5.985 GB | very large, extremely low quality loss |
| Vistral-7B-Chat-function-calling-Q8_0.gguf | Q8_0 | 7.751 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/Vistral-7B-Chat-function-calling-GGUF --include "Vistral-7B-Chat-function-calling-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/Vistral-7B-Chat-function-calling-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'