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prometheus-eval/prometheus-8x7b-v2.0 - GGUF

This repo contains GGUF format model files for prometheus-eval/prometheus-8x7b-v2.0.

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

Prompt template

<s>[INST] {prompt} [/INST]

Model file specification

Filename Quant type File Size Description
prometheus-8x7b-v2.0-Q2_K.gguf Q2_K 17.311 GB smallest, significant quality loss - not recommended for most purposes
prometheus-8x7b-v2.0-Q3_K_S.gguf Q3_K_S 20.433 GB very small, high quality loss
prometheus-8x7b-v2.0-Q3_K_M.gguf Q3_K_M 22.546 GB very small, high quality loss
prometheus-8x7b-v2.0-Q3_K_L.gguf Q3_K_L 24.170 GB small, substantial quality loss
prometheus-8x7b-v2.0-Q4_0.gguf Q4_0 26.444 GB legacy; small, very high quality loss - prefer using Q3_K_M
prometheus-8x7b-v2.0-Q4_K_S.gguf Q4_K_S 26.746 GB small, greater quality loss
prometheus-8x7b-v2.0-Q4_K_M.gguf Q4_K_M 28.448 GB medium, balanced quality - recommended
prometheus-8x7b-v2.0-Q5_0.gguf Q5_0 32.231 GB legacy; medium, balanced quality - prefer using Q4_K_M
prometheus-8x7b-v2.0-Q5_K_S.gguf Q5_K_S 32.231 GB large, low quality loss - recommended
prometheus-8x7b-v2.0-Q5_K_M.gguf Q5_K_M 33.230 GB large, very low quality loss - recommended
prometheus-8x7b-v2.0-Q6_K.gguf Q6_K 38.381 GB very large, extremely low quality loss
prometheus-8x7b-v2.0-Q8_0.gguf Q8_0 49.626 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/prometheus-8x7b-v2.0-GGUF --include "prometheus-8x7b-v2.0-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/prometheus-8x7b-v2.0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
176
GGUF
Model size
46.7B params
Architecture
llama

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Inference Examples
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Model tree for tensorblock/prometheus-8x7b-v2.0-GGUF

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Datasets used to train tensorblock/prometheus-8x7b-v2.0-GGUF