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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.

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

Filename Quant type File Size Description
Llama3-ChatQA-1.5-70B-Q2_K.gguf Q2_K 26.375 GB smallest, significant quality loss - not recommended for most purposes
Llama3-ChatQA-1.5-70B-Q3_K_S.gguf Q3_K_S 30.912 GB very small, high quality loss
Llama3-ChatQA-1.5-70B-Q3_K_M.gguf Q3_K_M 34.267 GB very small, high quality loss
Llama3-ChatQA-1.5-70B-Q3_K_L.gguf Q3_K_L 37.141 GB small, substantial quality loss
Llama3-ChatQA-1.5-70B-Q4_0.gguf Q4_0 39.970 GB legacy; small, very high quality loss - prefer using Q3_K_M
Llama3-ChatQA-1.5-70B-Q4_K_S.gguf Q4_K_S 40.347 GB small, greater quality loss
Llama3-ChatQA-1.5-70B-Q4_K_M.gguf Q4_K_M 42.520 GB medium, balanced quality - recommended
Llama3-ChatQA-1.5-70B-Q5_0.gguf Q5_0 48.657 GB legacy; medium, balanced quality - prefer using Q4_K_M
Llama3-ChatQA-1.5-70B-Q5_K_S.gguf Q5_K_S 48.657 GB large, low quality loss - recommended
Llama3-ChatQA-1.5-70B-Q5_K_M.gguf Q5_K_M 49.950 GB large, very low quality loss - recommended
Llama3-ChatQA-1.5-70B-Q8_0 Q6_K 74.975 GB very large, extremely low quality loss
Llama3-ChatQA-1.5-70B-Q6_K Q8_0 57.888 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/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:

huggingface-cli download tensorblock/Llama3-ChatQA-1.5-70B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
313
GGUF
Model size
70.6B params
Architecture
llama

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Inference Examples
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