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OrionStarAI/Orion-14B-Chat-RAG - GGUF

This repo contains GGUF format model files for OrionStarAI/Orion-14B-Chat-RAG.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template


Model file specification

Filename Quant type File Size Description
Orion-14B-Chat-RAG-Q2_K.gguf Q2_K 5.508 GB smallest, significant quality loss - not recommended for most purposes
Orion-14B-Chat-RAG-Q3_K_S.gguf Q3_K_S 6.404 GB very small, high quality loss
Orion-14B-Chat-RAG-Q3_K_M.gguf Q3_K_M 7.127 GB very small, high quality loss
Orion-14B-Chat-RAG-Q3_K_L.gguf Q3_K_L 7.756 GB small, substantial quality loss
Orion-14B-Chat-RAG-Q4_0.gguf Q4_0 8.272 GB legacy; small, very high quality loss - prefer using Q3_K_M
Orion-14B-Chat-RAG-Q4_K_S.gguf Q4_K_S 8.334 GB small, greater quality loss
Orion-14B-Chat-RAG-Q4_K_M.gguf Q4_K_M 8.813 GB medium, balanced quality - recommended
Orion-14B-Chat-RAG-Q5_0.gguf Q5_0 10.030 GB legacy; medium, balanced quality - prefer using Q4_K_M
Orion-14B-Chat-RAG-Q5_K_S.gguf Q5_K_S 10.030 GB large, low quality loss - recommended
Orion-14B-Chat-RAG-Q5_K_M.gguf Q5_K_M 10.309 GB large, very low quality loss - recommended
Orion-14B-Chat-RAG-Q6_K.gguf Q6_K 11.898 GB very large, extremely low quality loss
Orion-14B-Chat-RAG-Q8_0.gguf Q8_0 15.409 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/Orion-14B-Chat-RAG-GGUF --include "Orion-14B-Chat-RAG-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/Orion-14B-Chat-RAG-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
153
GGUF
Model size
14.5B params
Architecture
orion

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Inference Examples
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