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Llama-2-7B-Chat-fp16-GGUF

Text Generation
GGUF
PyTorch
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facebook
meta
llama
llama-2
TensorBlock
GGUF
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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
arxiv: 2307.09288
tags:
  - facebook
  - meta
  - pytorch
  - llama
  - llama-2
  - TensorBlock
  - GGUF
base_model: TheBloke/Llama-2-7B-Chat-fp16
TensorBlock

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TheBloke/Llama-2-7B-Chat-fp16 - GGUF

This repo contains GGUF format model files for TheBloke/Llama-2-7B-Chat-fp16.

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

Prompt template

Model file specification

Filename Quant type File Size Description
Llama-2-7B-Chat-fp16-Q2_K.gguf Q2_K 2.359 GB smallest, significant quality loss - not recommended for most purposes
Llama-2-7B-Chat-fp16-Q3_K_S.gguf Q3_K_S 2.746 GB very small, high quality loss
Llama-2-7B-Chat-fp16-Q3_K_M.gguf Q3_K_M 3.072 GB very small, high quality loss
Llama-2-7B-Chat-fp16-Q3_K_L.gguf Q3_K_L 3.350 GB small, substantial quality loss
Llama-2-7B-Chat-fp16-Q4_0.gguf Q4_0 3.563 GB legacy; small, very high quality loss - prefer using Q3_K_M
Llama-2-7B-Chat-fp16-Q4_K_S.gguf Q4_K_S 3.592 GB small, greater quality loss
Llama-2-7B-Chat-fp16-Q4_K_M.gguf Q4_K_M 3.801 GB medium, balanced quality - recommended
Llama-2-7B-Chat-fp16-Q5_0.gguf Q5_0 4.332 GB legacy; medium, balanced quality - prefer using Q4_K_M
Llama-2-7B-Chat-fp16-Q5_K_S.gguf Q5_K_S 4.332 GB large, low quality loss - recommended
Llama-2-7B-Chat-fp16-Q5_K_M.gguf Q5_K_M 4.455 GB large, very low quality loss - recommended
Llama-2-7B-Chat-fp16-Q6_K.gguf Q6_K 5.149 GB very large, extremely low quality loss
Llama-2-7B-Chat-fp16-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/Llama-2-7B-Chat-fp16-GGUF --include "Llama-2-7B-Chat-fp16-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-Chat-fp16-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'