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WizardLMTeam/WizardCoder-33B-V1.1 - GGUF

This repo contains GGUF format model files for WizardLMTeam/WizardCoder-33B-V1.1.

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
WizardCoder-33B-V1.1-Q2_K.gguf Q2_K 12.356 GB smallest, significant quality loss - not recommended for most purposes
WizardCoder-33B-V1.1-Q3_K_S.gguf Q3_K_S 14.422 GB very small, high quality loss
WizardCoder-33B-V1.1-Q3_K_M.gguf Q3_K_M 16.092 GB very small, high quality loss
WizardCoder-33B-V1.1-Q3_K_L.gguf Q3_K_L 17.560 GB small, substantial quality loss
WizardCoder-33B-V1.1-Q4_0.gguf Q4_0 18.819 GB legacy; small, very high quality loss - prefer using Q3_K_M
WizardCoder-33B-V1.1-Q4_K_S.gguf Q4_K_S 18.943 GB small, greater quality loss
WizardCoder-33B-V1.1-Q4_K_M.gguf Q4_K_M 19.941 GB medium, balanced quality - recommended
WizardCoder-33B-V1.1-Q5_0.gguf Q5_0 22.958 GB legacy; medium, balanced quality - prefer using Q4_K_M
WizardCoder-33B-V1.1-Q5_K_S.gguf Q5_K_S 22.958 GB large, low quality loss - recommended
WizardCoder-33B-V1.1-Q5_K_M.gguf Q5_K_M 23.536 GB large, very low quality loss - recommended
WizardCoder-33B-V1.1-Q6_K.gguf Q6_K 27.356 GB very large, extremely low quality loss
WizardCoder-33B-V1.1-Q8_0.gguf Q8_0 35.431 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/WizardCoder-33B-V1.1-GGUF --include "WizardCoder-33B-V1.1-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/WizardCoder-33B-V1.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
273
GGUF
Model size
33.3B params
Architecture
llama

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Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for tensorblock/WizardCoder-33B-V1.1-GGUF

Quantized
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Evaluation results