CodeBooga-34B-v0.1-GGUF

tensorblock/CodeBooga-34B-v0.1-GGUF

CodeBooga-34B-v0.1-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama2.

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Downloads · 30 days

6% of all-time downloads

All-time downloads

1.5K

Public

Repo size

254 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf12.5 GB · 100%

At a glance

License: llama2
Access: Public
Created: Nov 13, 2024
Updated: Jan 27, 2026
SHA: d538a957

Base models

oobabooga/CodeBooga-34B-v0.1

Model card

From the Hugging Face model README

oobabooga/CodeBooga-34B-v0.1 - GGUF

This repo contains GGUF format model files for oobabooga/CodeBooga-34B-v0.1.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Our projects

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Model file specification

Filename	Quant type	File Size	Description
CodeBooga-34B-v0.1-Q2_K.gguf	Q2_K	11.647 GB	smallest, significant quality loss - not recommended for most purposes
CodeBooga-34B-v0.1-Q3_K_S.gguf	Q3_K_S	13.602 GB	very small, high quality loss
CodeBooga-34B-v0.1-Q3_K_M.gguf	Q3_K_M	15.186 GB	very small, high quality loss
CodeBooga-34B-v0.1-Q3_K_L.gguf	Q3_K_L	16.551 GB	small, substantial quality loss
CodeBooga-34B-v0.1-Q4_0.gguf	Q4_0	17.744 GB	legacy; small, very high quality loss - prefer using Q3_K_M
CodeBooga-34B-v0.1-Q4_K_S.gguf	Q4_K_S	17.873 GB	small, greater quality loss
CodeBooga-34B-v0.1-Q4_K_M.gguf	Q4_K_M	18.831 GB	medium, balanced quality - recommended
CodeBooga-34B-v0.1-Q5_0.gguf	Q5_0	21.641 GB	legacy; medium, balanced quality - prefer using Q4_K_M
CodeBooga-34B-v0.1-Q5_K_S.gguf	Q5_K_S	21.641 GB	large, low quality loss - recommended
CodeBooga-34B-v0.1-Q5_K_M.gguf	Q5_K_M	22.202 GB	large, very low quality loss - recommended
CodeBooga-34B-v0.1-Q6_K.gguf	Q6_K	25.783 GB	very large, extremely low quality loss
CodeBooga-34B-v0.1-Q8_0.gguf	Q8_0	33.394 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/CodeBooga-34B-v0.1-GGUF --include "CodeBooga-34B-v0.1-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/CodeBooga-34B-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

License: llama2
Created: Nov 13, 2024
Updated: Jan 27, 2026