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extra_gated_heading: Access Llama 2 on Hugging Face
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extra_gated_description: >-
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This is a form to enable access to Llama 2 on Hugging Face after you have been
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granted access from Meta. Please visit the [Meta website](https://ai.meta.com/resources/models-and-libraries/llama-downloads) and accept our
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license terms and acceptable use policy before submitting this form. Requests
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will be processed in 1-2 days.
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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.**"
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extra_gated_button_content: Submit
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extra_gated_fields:
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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
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language:
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- en
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pipeline_tag: text-generation
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- llama
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- llama-2
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# **Llama 2**
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Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.
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language:
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- en
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pipeline_tag: text-generation
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- llama
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- llama-2
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# Llama 2 7B Chat GGUF version
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Files provided:
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| File | Description |
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| -------- | ------- |
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| llama2-7b-chat-Q4_K_M.gguf | Quantised GGUF model using Q4_K_M |
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| llama2-7b-chat-Q5_K_S.gguf | Quantised GGUF model using Q5_K_S |
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| llama2-7b-chat-Q6_K.gguf | Quantised GGUF model using Q6_K |
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| llama2-7b-chat-f16.gguf | Original float16 format which can be used for further quantisation |
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Need help? Join the [Substratus discord server](https://discord.gg/JeXhcmjZVm).
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Original README:
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# **Llama 2**
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Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.
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