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PsyMedRP-v1-20B-GGUF

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metadata
license: cc-by-nc-4.0
tags:
  - not-for-all-audiences
  - nsfw
  - TensorBlock
  - GGUF
base_model: Undi95/PsyMedRP-v1-20B
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Undi95/PsyMedRP-v1-20B - GGUF

This repo contains GGUF format model files for Undi95/PsyMedRP-v1-20B.

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
PsyMedRP-v1-20B-Q2_K.gguf Q2_K 7.420 GB smallest, significant quality loss - not recommended for most purposes
PsyMedRP-v1-20B-Q3_K_S.gguf Q3_K_S 8.658 GB very small, high quality loss
PsyMedRP-v1-20B-Q3_K_M.gguf Q3_K_M 9.706 GB very small, high quality loss
PsyMedRP-v1-20B-Q3_K_L.gguf Q3_K_L 10.628 GB small, substantial quality loss
PsyMedRP-v1-20B-Q4_0.gguf Q4_0 11.292 GB legacy; small, very high quality loss - prefer using Q3_K_M
PsyMedRP-v1-20B-Q4_K_S.gguf Q4_K_S 11.367 GB small, greater quality loss
PsyMedRP-v1-20B-Q4_K_M.gguf Q4_K_M 12.042 GB medium, balanced quality - recommended
PsyMedRP-v1-20B-Q5_0.gguf Q5_0 13.771 GB legacy; medium, balanced quality - prefer using Q4_K_M
PsyMedRP-v1-20B-Q5_K_S.gguf Q5_K_S 13.771 GB large, low quality loss - recommended
PsyMedRP-v1-20B-Q5_K_M.gguf Q5_K_M 14.157 GB large, very low quality loss - recommended
PsyMedRP-v1-20B-Q6_K.gguf Q6_K 16.404 GB very large, extremely low quality loss
PsyMedRP-v1-20B-Q8_0.gguf Q8_0 21.247 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/PsyMedRP-v1-20B-GGUF --include "PsyMedRP-v1-20B-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/PsyMedRP-v1-20B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'