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Viking-33B-GGUF

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metadata
license: apache-2.0
datasets:
  - cerebras/SlimPajama-627B
  - bigcode/starcoderdata
  - mc4
language:
  - fi
  - en
  - da
  - sv
  - 'no'
  - nn
  - is
tags:
  - TensorBlock
  - GGUF
base_model: LumiOpen/Viking-33B
TensorBlock

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LumiOpen/Viking-33B - GGUF

This repo contains GGUF format model files for LumiOpen/Viking-33B.

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
Viking-33B-Q2_K.gguf Q2_K 12.561 GB smallest, significant quality loss - not recommended for most purposes
Viking-33B-Q3_K_S.gguf Q3_K_S 14.606 GB very small, high quality loss
Viking-33B-Q3_K_M.gguf Q3_K_M 16.191 GB very small, high quality loss
Viking-33B-Q3_K_L.gguf Q3_K_L 17.573 GB small, substantial quality loss
Viking-33B-Q4_0.gguf Q4_0 18.879 GB legacy; small, very high quality loss - prefer using Q3_K_M
Viking-33B-Q4_K_S.gguf Q4_K_S 19.012 GB small, greater quality loss
Viking-33B-Q4_K_M.gguf Q4_K_M 19.992 GB medium, balanced quality - recommended
Viking-33B-Q5_0.gguf Q5_0 22.902 GB legacy; medium, balanced quality - prefer using Q4_K_M
Viking-33B-Q5_K_S.gguf Q5_K_S 22.902 GB large, low quality loss - recommended
Viking-33B-Q5_K_M.gguf Q5_K_M 23.475 GB large, very low quality loss - recommended
Viking-33B-Q6_K.gguf Q6_K 27.175 GB very large, extremely low quality loss
Viking-33B-Q8_0.gguf Q8_0 35.196 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/Viking-33B-GGUF --include "Viking-33B-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/Viking-33B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'