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metadata
license: llama3
library_name: transformers
pipeline_tag: text-generation
base_model: shenzhi-wang/Llama3-70B-Chinese-Chat
language:
  - en
  - zh
tags:
  - llama-factory
  - orpo
  - TensorBlock
  - GGUF
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shenzhi-wang/Llama3-70B-Chinese-Chat - GGUF

This repo contains GGUF format model files for shenzhi-wang/Llama3-70B-Chinese-Chat.

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|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Model file specification

Filename Quant type File Size Description
Llama3-70B-Chinese-Chat-Q2_K.gguf Q2_K 26.375 GB smallest, significant quality loss - not recommended for most purposes
Llama3-70B-Chinese-Chat-Q3_K_S.gguf Q3_K_S 30.912 GB very small, high quality loss
Llama3-70B-Chinese-Chat-Q3_K_M.gguf Q3_K_M 34.267 GB very small, high quality loss
Llama3-70B-Chinese-Chat-Q3_K_L.gguf Q3_K_L 37.141 GB small, substantial quality loss
Llama3-70B-Chinese-Chat-Q4_0.gguf Q4_0 39.970 GB legacy; small, very high quality loss - prefer using Q3_K_M
Llama3-70B-Chinese-Chat-Q4_K_S.gguf Q4_K_S 40.347 GB small, greater quality loss
Llama3-70B-Chinese-Chat-Q4_K_M.gguf Q4_K_M 42.520 GB medium, balanced quality - recommended
Llama3-70B-Chinese-Chat-Q5_0.gguf Q5_0 48.657 GB legacy; medium, balanced quality - prefer using Q4_K_M
Llama3-70B-Chinese-Chat-Q5_K_S.gguf Q5_K_S 48.657 GB large, low quality loss - recommended
Llama3-70B-Chinese-Chat-Q5_K_M.gguf Q5_K_M 49.950 GB large, very low quality loss - recommended
Llama3-70B-Chinese-Chat-Q8_0 Q6_K 74.975 GB very large, extremely low quality loss
Llama3-70B-Chinese-Chat-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/Llama3-70B-Chinese-Chat-GGUF --include "Llama3-70B-Chinese-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/Llama3-70B-Chinese-Chat-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'