Downloads ยท 30 days
18
2% of all-time downloads
tensorblock/g22-GGUF
g22-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
<div style="width: auto; margin-left: auto; margin-right: auto" <img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;" </div
Downloads ยท 30 days
18
2% of all-time downloads
All-time downloads
764
Public
Repo size
59.3 GB
Likes
0
Public
Click a slice to open those files.
.gguf3.1 GB ยท 100%
From the Hugging Face model README
This repo contains GGUF format model files for vapegod/g22.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4823.
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| g22-Q2_K.gguf | Q2_K | 3.090 GB | smallest, significant quality loss - not recommended for most purposes |
| g22-Q3_K_S.gguf | Q3_K_S | 3.551 GB | very small, high quality loss |
| g22-Q3_K_M.gguf | Q3_K_M | 3.880 GB | very small, high quality loss |
| g22-Q3_K_L.gguf | Q3_K_L | 4.172 GB | small, substantial quality loss |
| g22-Q4_0.gguf | Q4_0 | 4.497 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| g22-Q4_K_S.gguf | Q4_K_S | 4.525 GB | small, greater quality loss |
| g22-Q4_K_M.gguf | Q4_K_M | 4.736 GB | medium, balanced quality - recommended |
| g22-Q5_0.gguf | Q5_0 | 5.388 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| g22-Q5_K_S.gguf | Q5_K_S | 5.388 GB | large, low quality loss - recommended |
| g22-Q5_K_M.gguf | Q5_K_M | 5.511 GB | large, very low quality loss - recommended |
| g22-Q6_K.gguf | Q6_K | 6.334 GB | very large, extremely low quality loss |
| g22-Q8_0.gguf | Q8_0 | 8.202 GB | very large, extremely low quality loss - not recommended |
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/g22-GGUF --include "g22-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/g22-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'