You can deploy this model and start earning money today!

tensorblock/
CarbonVillain-en-10.7B-v5-GGUF

Name: CarbonVillain-en-10.7B-v5-GGUF
Availability: InStock

Views

No views yet

jeonsworld/CarbonVillain-en-10.7B-v5 - GGUF

This repo contains GGUF format model files for jeonsworld/CarbonVillain-en-10.7B-v5.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Forge
Forge Project
An OpenAI-compatible multi-provider routing layer.
🚀 Try it now! 🚀
Awesome MCP Servers	TensorBlock Studio
MCP Servers	Studio
A comprehensive collection of Model Context Protocol (MCP) servers.	A lightweight, open, and extensible multi-LLM interaction studio.
👀 See what we built 👀	👀 See what we built 👀

## Prompt template

### System:
{system_prompt}

### User:
{prompt}

### Assistant:

Filename	Quant type	File Size	Description
CarbonVillain-en-10.7B-v5-Q2_K.gguf	Q2_K	4.003 GB	smallest, significant quality loss - not recommended for most purposes
CarbonVillain-en-10.7B-v5-Q3_K_S.gguf	Q3_K_S	4.665 GB	very small, high quality loss
CarbonVillain-en-10.7B-v5-Q3_K_M.gguf	Q3_K_M	5.196 GB	very small, high quality loss
CarbonVillain-en-10.7B-v5-Q3_K_L.gguf	Q3_K_L	5.651 GB	small, substantial quality loss
CarbonVillain-en-10.7B-v5-Q4_0.gguf	Q4_0	6.072 GB	legacy; small, very high quality loss - prefer using Q3_K_M
CarbonVillain-en-10.7B-v5-Q4_K_S.gguf	Q4_K_S	6.119 GB	small, greater quality loss
CarbonVillain-en-10.7B-v5-Q4_K_M.gguf	Q4_K_M	6.462 GB	medium, balanced quality - recommended
CarbonVillain-en-10.7B-v5-Q5_0.gguf	Q5_0	7.397 GB	legacy; medium, balanced quality - prefer using Q4_K_M
CarbonVillain-en-10.7B-v5-Q5_K_S.gguf	Q5_K_S	7.397 GB	large, low quality loss - recommended
CarbonVillain-en-10.7B-v5-Q5_K_M.gguf	Q5_K_M	7.598 GB	large, very low quality loss - recommended
CarbonVillain-en-10.7B-v5-Q6_K.gguf	Q6_K	8.805 GB	very large, extremely low quality loss
CarbonVillain-en-10.7B-v5-Q8_0.gguf	Q8_0	11.404 GB	very large, extremely low quality loss - not recommended

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/CarbonVillain-en-10.7B-v5-GGUF --include "CarbonVillain-en-10.7B-v5-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/CarbonVillain-en-10.7B-v5-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'