OOM-13B_01-GGUF / README.md
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metadata
license: cc-by-nc-sa-4.0
language:
  - en
  - ko
library_name: transformers
tags:
  - TensorBlock
  - GGUF
base_model: giprime/OOM-13B_01
TensorBlock

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giprime/OOM-13B_01 - GGUF

This repo contains GGUF format model files for giprime/OOM-13B_01.

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
OOM-13B_01-Q2_K.gguf Q2_K 4.600 GB smallest, significant quality loss - not recommended for most purposes
OOM-13B_01-Q3_K_S.gguf Q3_K_S 5.356 GB very small, high quality loss
OOM-13B_01-Q3_K_M.gguf Q3_K_M 5.988 GB very small, high quality loss
OOM-13B_01-Q3_K_L.gguf Q3_K_L 6.539 GB small, substantial quality loss
OOM-13B_01-Q4_0.gguf Q4_0 6.955 GB legacy; small, very high quality loss - prefer using Q3_K_M
OOM-13B_01-Q4_K_S.gguf Q4_K_S 7.008 GB small, greater quality loss
OOM-13B_01-Q4_K_M.gguf Q4_K_M 7.421 GB medium, balanced quality - recommended
OOM-13B_01-Q5_0.gguf Q5_0 8.460 GB legacy; medium, balanced quality - prefer using Q4_K_M
OOM-13B_01-Q5_K_S.gguf Q5_K_S 8.460 GB large, low quality loss - recommended
OOM-13B_01-Q5_K_M.gguf Q5_K_M 8.700 GB large, very low quality loss - recommended
OOM-13B_01-Q6_K.gguf Q6_K 10.058 GB very large, extremely low quality loss
OOM-13B_01-Q8_0.gguf Q8_0 13.027 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/OOM-13B_01-GGUF --include "OOM-13B_01-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_01-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'