metadata
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
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language:
- en
pipeline_tag: text-generation
inference: false
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- TensorBlock
- GGUF
base_model: mostafaamiri/base_7B
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.
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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'