ChocoLlama_ChocoLlama-2-7B-instruct-GGUF

tensorblock/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF

ChocoLlama_ChocoLlama-2-7B-instruct-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 cc-by-nc-4.0.

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Downloads · 30 days

4% of all-time downloads

All-time downloads

1.7K

Public

Repo size

50.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf5.8 GB · 100%

At a glance

License: cc-by-nc-4.0
Access: Public
Created: Apr 29, 2025
Updated: Jan 27, 2026
SHA: 3ecb9215

Base models

ChocoLlama/ChocoLlama-2-7B-instruct

Datasets

Model card

From the Hugging Face model README

ChocoLlama/ChocoLlama-2-7B-instruct - GGUF

This repo contains GGUF format model files for ChocoLlama/ChocoLlama-2-7B-instruct.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

Our projects

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Prompt template

<|system|>
{system_prompt}</s>
<|user|>
{prompt}</s>
<|assistant|>

Model file specification

Filename	Quant type	File Size	Description
ChocoLlama-2-7B-instruct-Q2_K.gguf	Q2_K	2.533 GB	smallest, significant quality loss - not recommended for most purposes
ChocoLlama-2-7B-instruct-Q3_K_S.gguf	Q3_K_S	2.948 GB	very small, high quality loss
ChocoLlama-2-7B-instruct-Q3_K_M.gguf	Q3_K_M	3.298 GB	very small, high quality loss
ChocoLlama-2-7B-instruct-Q3_K_L.gguf	Q3_K_L	3.597 GB	small, substantial quality loss
ChocoLlama-2-7B-instruct-Q4_0.gguf	Q4_0	3.826 GB	legacy; small, very high quality loss - prefer using Q3_K_M
ChocoLlama-2-7B-instruct-Q4_K_S.gguf	Q4_K_S	3.857 GB	small, greater quality loss
ChocoLlama-2-7B-instruct-Q4_K_M.gguf	Q4_K_M	4.081 GB	medium, balanced quality - recommended
ChocoLlama-2-7B-instruct-Q5_0.gguf	Q5_0	4.652 GB	legacy; medium, balanced quality - prefer using Q4_K_M
ChocoLlama-2-7B-instruct-Q5_K_S.gguf	Q5_K_S	4.652 GB	large, low quality loss - recommended
ChocoLlama-2-7B-instruct-Q5_K_M.gguf	Q5_K_M	4.783 GB	large, very low quality loss - recommended
ChocoLlama-2-7B-instruct-Q6_K.gguf	Q6_K	5.529 GB	very large, extremely low quality loss
ChocoLlama-2-7B-instruct-Q8_0.gguf	Q8_0	7.161 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/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF --include "ChocoLlama-2-7B-instruct-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/ChocoLlama_ChocoLlama-2-7B-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

License: cc-by-nc-4.0
Languages: nl
Created: Apr 29, 2025
Updated: Jan 27, 2026