metadata
license: other
datasets:
- ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
- kaiokendev/SuperCOT-dataset
- neulab/conala
- yahma/alpaca-cleaned
- QingyiSi/Alpaca-CoT
- timdettmers/guanaco-33b
- JosephusCheung/GuanacoDataset
tags:
- uncensored
- TensorBlock
- GGUF
base_model: Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b - GGUF
This repo contains GGUF format model files for Monero/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.
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 |
|---|---|---|---|
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q2_K.gguf | Q2_K | 11.221 GB | smallest, significant quality loss - not recommended for most purposes |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q3_K_S.gguf | Q3_K_S | 13.098 GB | very small, high quality loss |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q3_K_M.gguf | Q3_K_M | 14.693 GB | very small, high quality loss |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q3_K_L.gguf | Q3_K_L | 16.093 GB | small, substantial quality loss |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q4_0.gguf | Q4_0 | 17.095 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q4_K_S.gguf | Q4_K_S | 17.213 GB | small, greater quality loss |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q4_K_M.gguf | Q4_K_M | 18.274 GB | medium, balanced quality - recommended |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q5_0.gguf | Q5_0 | 20.857 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q5_K_S.gguf | Q5_K_S | 20.857 GB | large, low quality loss - recommended |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q5_K_M.gguf | Q5_K_M | 21.464 GB | large, very low quality loss - recommended |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q6_K.gguf | Q6_K | 24.854 GB | very large, extremely low quality loss |
| WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-Q8_0.gguf | Q8_0 | 32.191 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/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF --include "WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-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/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'