You can deploy this model and start earning money today!

tensorblock/
h2ogpt-4096-llama2-7b-chat-GGUF

Name: h2ogpt-4096-llama2-7b-chat-GGUF
Availability: InStock

h2oai/h2ogpt-4096-llama2-7b-chat - GGUF

This repo contains GGUF format model files for h2oai/h2ogpt-4096-llama2-7b-chat.

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

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

Filename	Quant type	File Size	Description
h2ogpt-4096-llama2-7b-chat-Q2_K.gguf	Q2_K	2.359 GB	smallest, significant quality loss - not recommended for most purposes
h2ogpt-4096-llama2-7b-chat-Q3_K_S.gguf	Q3_K_S	2.746 GB	very small, high quality loss
h2ogpt-4096-llama2-7b-chat-Q3_K_M.gguf	Q3_K_M	3.072 GB	very small, high quality loss
h2ogpt-4096-llama2-7b-chat-Q3_K_L.gguf	Q3_K_L	3.350 GB	small, substantial quality loss
h2ogpt-4096-llama2-7b-chat-Q4_0.gguf	Q4_0	3.563 GB	legacy; small, very high quality loss - prefer using Q3_K_M
h2ogpt-4096-llama2-7b-chat-Q4_K_S.gguf	Q4_K_S	3.592 GB	small, greater quality loss
h2ogpt-4096-llama2-7b-chat-Q4_K_M.gguf	Q4_K_M	3.801 GB	medium, balanced quality - recommended
h2ogpt-4096-llama2-7b-chat-Q5_0.gguf	Q5_0	4.332 GB	legacy; medium, balanced quality - prefer using Q4_K_M
h2ogpt-4096-llama2-7b-chat-Q5_K_S.gguf	Q5_K_S	4.332 GB	large, low quality loss - recommended
h2ogpt-4096-llama2-7b-chat-Q5_K_M.gguf	Q5_K_M	4.455 GB	large, very low quality loss - recommended
h2ogpt-4096-llama2-7b-chat-Q6_K.gguf	Q6_K	5.149 GB	very large, extremely low quality loss
h2ogpt-4096-llama2-7b-chat-Q8_0.gguf	Q8_0	6.669 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/h2ogpt-4096-llama2-7b-chat-GGUF --include "h2ogpt-4096-llama2-7b-chat-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/h2ogpt-4096-llama2-7b-chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'