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metadata
base_model: knoveleng/Open-RS3
datasets:
  - knoveleng/open-rs
  - knoveleng/open-s1
  - knoveleng/open-deepscaler
license: mit
pipeline_tag: text-generation
inference: true
library_name: transformers
tags:
  - TensorBlock
  - GGUF
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knoveleng/Open-RS3 - GGUF

This repo contains GGUF format model files for knoveleng/Open-RS3.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

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Prompt template 

<｜begin▁of▁sentence｜>{system_prompt}<｜User｜>{prompt}<｜Assistant｜><think>

Model file specification

Filename Quant type File Size Description
Open-RS3-Q2_K.gguf Q2_K 0.753 GB smallest, significant quality loss - not recommended for most purposes
Open-RS3-Q3_K_S.gguf Q3_K_S 0.861 GB very small, high quality loss
Open-RS3-Q3_K_M.gguf Q3_K_M 0.924 GB very small, high quality loss
Open-RS3-Q3_K_L.gguf Q3_K_L 0.980 GB small, substantial quality loss
Open-RS3-Q4_0.gguf Q4_0 1.066 GB legacy; small, very high quality loss - prefer using Q3_K_M
Open-RS3-Q4_K_S.gguf Q4_K_S 1.072 GB small, greater quality loss
Open-RS3-Q4_K_M.gguf Q4_K_M 1.117 GB medium, balanced quality - recommended
Open-RS3-Q5_0.gguf Q5_0 1.259 GB legacy; medium, balanced quality - prefer using Q4_K_M
Open-RS3-Q5_K_S.gguf Q5_K_S 1.259 GB large, low quality loss - recommended
Open-RS3-Q5_K_M.gguf Q5_K_M 1.285 GB large, very low quality loss - recommended
Open-RS3-Q6_K.gguf Q6_K 1.464 GB very large, extremely low quality loss
Open-RS3-Q8_0.gguf Q8_0 1.895 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/knoveleng_Open-RS3-GGUF --include "Open-RS3-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/knoveleng_Open-RS3-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'