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llama2-7b-sft-full-llama2-GGUF

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metadata
license: llama2
base_model: kevin1010607/llama2-7b-sft-full-llama2
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
  - TensorBlock
  - GGUF
datasets:
  - HuggingFaceH4/ultrafeedback_binarized
model-index:
  - name: llama2-7b-sft-full-llama2
    results: []
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kevin1010607/llama2-7b-sft-full-llama2 - GGUF

This repo contains GGUF format model files for kevin1010607/llama2-7b-sft-full-llama2.

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

Prompt template 

<s>[INST] <<SYS>>
{system_prompt}
<</SYS>>

{prompt} [/INST]

Model file specification

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