README.md

metadata

library_name: transformers
tags:
  - llama-3
  - tiny-llama
  - nano-llama
  - small-llama
  - random-llama
  - tiny
  - small
  - nano
  - random
  - debug
  - llama-3-debug
  - gpt
  - generation
  - xiaodongguaAIGC
  - TensorBlock
  - GGUF
pipeline_tag: text-generation
language:
  - en
  - zh
base_model: xiaodongguaAIGC/llama-3-debug

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xiaodongguaAIGC/llama-3-debug - GGUF

This repo contains GGUF format model files for xiaodongguaAIGC/llama-3-debug.

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

Run them on the TensorBlock client using your local machine ↗

Prompt template

Model file specification

Filename	Quant type	File Size	Description
llama-3-debug-Q2_K.gguf	Q2_K	0.021 GB	smallest, significant quality loss - not recommended for most purposes
llama-3-debug-Q3_K_S.gguf	Q3_K_S	0.021 GB	very small, high quality loss
llama-3-debug-Q3_K_M.gguf	Q3_K_M	0.021 GB	very small, high quality loss
llama-3-debug-Q3_K_L.gguf	Q3_K_L	0.021 GB	small, substantial quality loss
llama-3-debug-Q4_0.gguf	Q4_0	0.021 GB	legacy; small, very high quality loss - prefer using Q3_K_M
llama-3-debug-Q4_K_S.gguf	Q4_K_S	0.022 GB	small, greater quality loss
llama-3-debug-Q4_K_M.gguf	Q4_K_M	0.022 GB	medium, balanced quality - recommended
llama-3-debug-Q5_0.gguf	Q5_0	0.022 GB	legacy; medium, balanced quality - prefer using Q4_K_M
llama-3-debug-Q5_K_S.gguf	Q5_K_S	0.023 GB	large, low quality loss - recommended
llama-3-debug-Q5_K_M.gguf	Q5_K_M	0.023 GB	large, very low quality loss - recommended
llama-3-debug-Q6_K.gguf	Q6_K	0.025 GB	very large, extremely low quality loss
llama-3-debug-Q8_0.gguf	Q8_0	0.025 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/llama-3-debug-GGUF --include "llama-3-debug-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/llama-3-debug-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'