Downloads · 30 days
8
1% of all-time downloads
tensorblock/OOM-13B_02-GGUF
OOM-13B_02-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. The card lists the license as cc-by-nc-sa-4.0.
<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 · 30 days
8
1% of all-time downloads
All-time downloads
920
Public
Repo size
99.4 GB
Likes
0
Public
Click a slice to open those files.
.gguf4.9 GB · 100%
From the Hugging Face model README
This repo contains GGUF format model files for giprime/OOM-13B_02.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| OOM-13B_02-Q2_K.gguf | Q2_K | 4.600 GB | smallest, significant quality loss - not recommended for most purposes |
| OOM-13B_02-Q3_K_S.gguf | Q3_K_S | 5.356 GB | very small, high quality loss |
| OOM-13B_02-Q3_K_M.gguf | Q3_K_M | 5.988 GB | very small, high quality loss |
| OOM-13B_02-Q3_K_L.gguf | Q3_K_L | 6.539 GB | small, substantial quality loss |
| OOM-13B_02-Q4_0.gguf | Q4_0 | 6.955 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| OOM-13B_02-Q4_K_S.gguf | Q4_K_S | 7.008 GB | small, greater quality loss |
| OOM-13B_02-Q4_K_M.gguf | Q4_K_M | 7.421 GB | medium, balanced quality - recommended |
| OOM-13B_02-Q5_0.gguf | Q5_0 | 8.460 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| OOM-13B_02-Q5_K_S.gguf | Q5_K_S | 8.460 GB | large, low quality loss - recommended |
| OOM-13B_02-Q5_K_M.gguf | Q5_K_M | 8.700 GB | large, very low quality loss - recommended |
| OOM-13B_02-Q6_K.gguf | Q6_K | 10.058 GB | very large, extremely low quality loss |
| OOM-13B_02-Q8_0.gguf | Q8_0 | 13.027 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/OOM-13B_02-GGUF --include "OOM-13B_02-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/OOM-13B_02-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'