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Llama-2-7b-gsm8k-GGUF

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metadata
datasets:
  - openai/gsm8k
language:
  - en
metrics:
  - accuracy
base_model: neuralmagic/Llama-2-7b-gsm8k
inference: true
model_type: llama
pipeline_tag: text-generation
tags:
  - TensorBlock
  - GGUF
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neuralmagic/Llama-2-7b-gsm8k - GGUF

This repo contains GGUF format model files for neuralmagic/Llama-2-7b-gsm8k.

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

Prompt template

Model file specification

Filename Quant type File Size Description
Llama-2-7b-gsm8k-Q2_K.gguf Q2_K 2.533 GB smallest, significant quality loss - not recommended for most purposes
Llama-2-7b-gsm8k-Q3_K_S.gguf Q3_K_S 2.948 GB very small, high quality loss
Llama-2-7b-gsm8k-Q3_K_M.gguf Q3_K_M 3.298 GB very small, high quality loss
Llama-2-7b-gsm8k-Q3_K_L.gguf Q3_K_L 3.597 GB small, substantial quality loss
Llama-2-7b-gsm8k-Q4_0.gguf Q4_0 3.826 GB legacy; small, very high quality loss - prefer using Q3_K_M
Llama-2-7b-gsm8k-Q4_K_S.gguf Q4_K_S 3.857 GB small, greater quality loss
Llama-2-7b-gsm8k-Q4_K_M.gguf Q4_K_M 4.081 GB medium, balanced quality - recommended
Llama-2-7b-gsm8k-Q5_0.gguf Q5_0 4.652 GB legacy; medium, balanced quality - prefer using Q4_K_M
Llama-2-7b-gsm8k-Q5_K_S.gguf Q5_K_S 4.652 GB large, low quality loss - recommended
Llama-2-7b-gsm8k-Q5_K_M.gguf Q5_K_M 4.783 GB large, very low quality loss - recommended
Llama-2-7b-gsm8k-Q6_K.gguf Q6_K 5.529 GB very large, extremely low quality loss
Llama-2-7b-gsm8k-Q8_0.gguf Q8_0 7.161 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-2-7b-gsm8k-GGUF --include "Llama-2-7b-gsm8k-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-2-7b-gsm8k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'