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base_7B-GGUF

Text Generation
GGUF
PyTorch
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meta
llama
llama-2
TensorBlock
GGUF
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base_7B-GGUF / README.md
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extra_gated_heading: Access Llama 2 on Hugging Face
extra_gated_description: >-
  This is a form to enable access to Llama 2 on Hugging Face after you have been
  granted access from Meta. Please visit the [Meta
  website](https://ai.meta.com/resources/models-and-libraries/llama-downloads)
  and accept our license terms and acceptable use policy before submitting this
  form. Requests will be processed in 1-2 days.
extra_gated_prompt: >-
  **Your Hugging Face account email address MUST match the email you provide on
  the Meta website, or your request will not be approved.**
extra_gated_button_content: Submit
extra_gated_fields:
  I agree to share my name, email address and username with Meta and confirm that I have already been granted download access on the Meta website: checkbox
language:
  - en
pipeline_tag: text-generation
inference: false
tags:
  - facebook
  - meta
  - pytorch
  - llama
  - llama-2
  - TensorBlock
  - GGUF
base_model: mostafaamiri/base_7B
TensorBlock

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mostafaamiri/base_7B - GGUF

This repo contains GGUF format model files for mostafaamiri/base_7B.

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
base_7B-Q2_K.gguf Q2_K 2.533 GB smallest, significant quality loss - not recommended for most purposes
base_7B-Q3_K_S.gguf Q3_K_S 2.948 GB very small, high quality loss
base_7B-Q3_K_M.gguf Q3_K_M 3.298 GB very small, high quality loss
base_7B-Q3_K_L.gguf Q3_K_L 3.597 GB small, substantial quality loss
base_7B-Q4_0.gguf Q4_0 3.826 GB legacy; small, very high quality loss - prefer using Q3_K_M
base_7B-Q4_K_S.gguf Q4_K_S 3.857 GB small, greater quality loss
base_7B-Q4_K_M.gguf Q4_K_M 4.081 GB medium, balanced quality - recommended
base_7B-Q5_0.gguf Q5_0 4.652 GB legacy; medium, balanced quality - prefer using Q4_K_M
base_7B-Q5_K_S.gguf Q5_K_S 4.652 GB large, low quality loss - recommended
base_7B-Q5_K_M.gguf Q5_K_M 4.783 GB large, very low quality loss - recommended
base_7B-Q6_K.gguf Q6_K 5.529 GB very large, extremely low quality loss
base_7B-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/base_7B-GGUF --include "base_7B-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/base_7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'