metadata
license: bigcode-openrail-m
datasets:
- OpenAssistant/oasst1
- databricks/databricks-dolly-15k
language:
- en
library_name: transformers
tags:
- code
- TensorBlock
- GGUF
base_model: HuggingFaceH4/starchat-alpha
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
HuggingFaceH4/starchat-alpha - GGUF
This repo contains GGUF format model files for HuggingFaceH4/starchat-alpha.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| starchat-alpha-Q2_K.gguf | Q2_K | 5.778 GB | smallest, significant quality loss - not recommended for most purposes |
| starchat-alpha-Q3_K_S.gguf | Q3_K_S | 6.498 GB | very small, high quality loss |
| starchat-alpha-Q3_K_M.gguf | Q3_K_M | 7.661 GB | very small, high quality loss |
| starchat-alpha-Q3_K_L.gguf | Q3_K_L | 8.505 GB | small, substantial quality loss |
| starchat-alpha-Q4_0.gguf | Q4_0 | 8.373 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| starchat-alpha-Q4_K_S.gguf | Q4_K_S | 8.461 GB | small, greater quality loss |
| starchat-alpha-Q4_K_M.gguf | Q4_K_M | 9.281 GB | medium, balanced quality - recommended |
| starchat-alpha-Q5_0.gguf | Q5_0 | 10.138 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| starchat-alpha-Q5_K_S.gguf | Q5_K_S | 10.138 GB | large, low quality loss - recommended |
| starchat-alpha-Q5_K_M.gguf | Q5_K_M | 10.706 GB | large, very low quality loss - recommended |
| starchat-alpha-Q6_K.gguf | Q6_K | 12.014 GB | very large, extremely low quality loss |
| starchat-alpha-Q8_0.gguf | Q8_0 | 15.502 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/starchat-alpha-GGUF --include "starchat-alpha-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/starchat-alpha-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'