You can deploy this model and start earning money today!

tensorblock/
AISquare-Instruct-llama2-koen-13b-v0.9.2-GGUF

Name: AISquare-Instruct-llama2-koen-13b-v0.9.2-GGUF
Availability: InStock

Puluming/AISquare-Instruct-llama2-koen-13b-v0.9.2

Views

No views yet

Website

Discord

GitHub

Puluming/AISquare-Instruct-llama2-koen-13b-v0.9.2 - GGUF

This repo contains GGUF format model files for Puluming/AISquare-Instruct-llama2-koen-13b-v0.9.2.

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

Our projects

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

Model file specification

Filename	Quant type	File Size	Description
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q2_K.gguf	Q2_K	4.600 GB	smallest, significant quality loss - not recommended for most purposes
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q3_K_S.gguf	Q3_K_S	5.356 GB	very small, high quality loss
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q3_K_M.gguf	Q3_K_M	5.988 GB	very small, high quality loss
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q3_K_L.gguf	Q3_K_L	6.539 GB	small, substantial quality loss
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q4_0.gguf	Q4_0	6.955 GB	legacy; small, very high quality loss - prefer using Q3_K_M
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q4_K_S.gguf	Q4_K_S	7.008 GB	small, greater quality loss
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q4_K_M.gguf	Q4_K_M	7.421 GB	medium, balanced quality - recommended
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q5_0.gguf	Q5_0	8.459 GB	legacy; medium, balanced quality - prefer using Q4_K_M
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q5_K_S.gguf	Q5_K_S	8.459 GB	large, low quality loss - recommended
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q5_K_M.gguf	Q5_K_M	8.699 GB	large, very low quality loss - recommended
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q6_K.gguf	Q6_K	10.058 GB	very large, extremely low quality loss
AISquare-Instruct-llama2-koen-13b-v0.9.2-Q8_0.gguf	Q8_0	13.027 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/AISquare-Instruct-llama2-koen-13b-v0.9.2-GGUF --include "AISquare-Instruct-llama2-koen-13b-v0.9.2-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/AISquare-Instruct-llama2-koen-13b-v0.9.2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'