tensorblock/autotrain-llama3-70b-orpo-v2-GGUF

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abhishek/autotrain-llama3-70b-orpo-v2 - GGUF

This repo contains GGUF format model files for abhishek/autotrain-llama3-70b-orpo-v2.

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

Run them on the TensorBlock client using your local machine ↗

Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename	Quant type	File Size	Description
autotrain-llama3-70b-orpo-v2-Q2_K.gguf	Q2_K	26.375 GB	smallest, significant quality loss - not recommended for most purposes
autotrain-llama3-70b-orpo-v2-Q3_K_S.gguf	Q3_K_S	30.912 GB	very small, high quality loss
autotrain-llama3-70b-orpo-v2-Q3_K_M.gguf	Q3_K_M	34.268 GB	very small, high quality loss
autotrain-llama3-70b-orpo-v2-Q3_K_L.gguf	Q3_K_L	37.141 GB	small, substantial quality loss
autotrain-llama3-70b-orpo-v2-Q4_0.gguf	Q4_0	39.970 GB	legacy; small, very high quality loss - prefer using Q3_K_M
autotrain-llama3-70b-orpo-v2-Q4_K_S.gguf	Q4_K_S	40.347 GB	small, greater quality loss
autotrain-llama3-70b-orpo-v2-Q4_K_M.gguf	Q4_K_M	42.520 GB	medium, balanced quality - recommended
autotrain-llama3-70b-orpo-v2-Q5_0.gguf	Q5_0	48.658 GB	legacy; medium, balanced quality - prefer using Q4_K_M
autotrain-llama3-70b-orpo-v2-Q5_K_S.gguf	Q5_K_S	48.658 GB	large, low quality loss - recommended
autotrain-llama3-70b-orpo-v2-Q5_K_M.gguf	Q5_K_M	49.950 GB	large, very low quality loss - recommended
autotrain-llama3-70b-orpo-v2-Q6_K	Q6_K	57.888 GB	very large, extremely low quality loss
autotrain-llama3-70b-orpo-v2-Q8_0	Q8_0	13.114 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/autotrain-llama3-70b-orpo-v2-GGUF --include "autotrain-llama3-70b-orpo-v2-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/autotrain-llama3-70b-orpo-v2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'