CoolFace
Modelpublic

tensorblock/Llama3-ChatQA-1.5-70B-GGUF

sourceHugging Facellama3updated 8mo agoView on Hugging Face
0likes57downloads
Model Card

<div style="width: auto; margin-left: auto; margin-right: auto"> <img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;"> </div>

![Website](https://tensorblock.co) ![Twitter](https://twitter.com/tensorblock_aoi) ![Discord](https://discord.gg/Ej5NmeHFf2) ![GitHub](https://github.com/TensorBlock) ![Telegram](https://t.me/TensorBlock)

nvidia/Llama3-ChatQA-1.5-70B - GGUF

This repo contains GGUF format model files for nvidia/Llama3-ChatQA-1.5-70B.

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

Our projects

<table border="1" cellspacing="0" cellpadding="10"> <tr> <th colspan="2" style="font-size: 25px;">Forge</th> </tr> <tr> <th colspan="2"> <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/> </th> </tr> <tr> <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th> </tr> <tr> <th colspan="2"> <a href="https://github.com/TensorBlock/forge" target="_blank" style=" display: inline-block; padding: 8px 16px; background-color: #FF7F50; color: white; text-decoration: none; border-radius: 6px; font-weight: bold; font-family: sans-serif; ">๐Ÿš€ Try it now! ๐Ÿš€</a> </th> </tr>

<tr> <th style="font-size: 25px;">Awesome MCP Servers</th> <th style="font-size: 25px;">TensorBlock Studio</th> </tr> <tr> <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th> <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th> </tr> <tr> <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th> <th>A lightweight, open, and extensible multi-LLM interaction studio.</th> </tr> <tr> <th> <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="blank" style=" display: inline-block; padding: 8px 16px; background-color: #FF7F50; color: white; text-decoration: none; border-radius: 6px; font-weight: bold; font-family: sans-serif; ">๐Ÿ‘€ See what we built ๐Ÿ‘€</a> </th> <th> <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="blank" style=" display: inline-block; padding: 8px 16px; background-color: #FF7F50; color: white; text-decoration: none; border-radius: 6px; font-weight: bold; font-family: sans-serif; ">๐Ÿ‘€ See what we built ๐Ÿ‘€</a> </th> </tr> </table>

Prompt template

<|begin_of_text|>System: This is a chat between a user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions based on the context. The assistant should also indicate when the answer cannot be found in the context.

User: {prompt}

Assistant:

Model file specification

FilenameQuant typeFile SizeDescription
Llama3-ChatQA-1.5-70B-Q2_K.ggufQ2_K26.375 GBsmallest, significant quality loss - not recommended for most purposes
Llama3-ChatQA-1.5-70B-Q3_K_S.ggufQ3KS30.912 GBvery small, high quality loss
Llama3-ChatQA-1.5-70B-Q3_K_M.ggufQ3KM34.267 GBvery small, high quality loss
Llama3-ChatQA-1.5-70B-Q3_K_L.ggufQ3KL37.141 GBsmall, substantial quality loss
Llama3-ChatQA-1.5-70B-Q4_0.ggufQ4_039.970 GBlegacy; small, very high quality loss - prefer using Q3KM
Llama3-ChatQA-1.5-70B-Q4_K_S.ggufQ4KS40.347 GBsmall, greater quality loss
Llama3-ChatQA-1.5-70B-Q4_K_M.ggufQ4KM42.520 GBmedium, balanced quality - recommended
Llama3-ChatQA-1.5-70B-Q5_0.ggufQ5_048.657 GBlegacy; medium, balanced quality - prefer using Q4KM
Llama3-ChatQA-1.5-70B-Q5_K_S.ggufQ5KS48.657 GBlarge, low quality loss - recommended
Llama3-ChatQA-1.5-70B-Q5_K_M.ggufQ5KM49.950 GBlarge, very low quality loss - recommended
Llama3-ChatQA-1.5-70B-Q8_0Q6_K74.975 GBvery large, extremely low quality loss
Llama3-ChatQA-1.5-70B-Q6_KQ8_057.888 GBvery large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

shell
pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

shell
huggingface-cli download tensorblock/Llama3-ChatQA-1.5-70B-GGUF --include "Llama3-ChatQA-1.5-70B-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:

shell
huggingface-cli download tensorblock/Llama3-ChatQA-1.5-70B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'