Upload tokenizer
Browse files- README.md +15 -13
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +42 -0
README.md
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---
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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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inference: false
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arxiv: 2307.09288
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tags:
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- facebook
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- meta
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- pytorch
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- llama
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- llama-2
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---
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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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---
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language:
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- en
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tags:
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- facebook
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- meta
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- pytorch
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- llama
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- llama-2
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extra_gated_heading: Access Llama 2 on Hugging Face
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extra_gated_description: This is a form to enable access to Llama 2 on Hugging Face
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after you have been granted access from Meta. Please visit the [Meta website](https://ai.meta.com/resources/models-and-libraries/llama-downloads)
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and accept our license terms and acceptable use policy before submitting this form.
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Requests will be processed in 1-2 days.
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extra_gated_prompt: '**Your Hugging Face account email address MUST match the email
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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
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I have already been granted download access on the Meta website
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: checkbox
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pipeline_tag: text-generation
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inference: false
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arxiv: 2307.09288
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---
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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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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<unk>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}{% if message['role'] == 'function_metadata' %}LLaMA Correct User: You have access to the following functions. Use them if required:\n\n{{ message['content'] }}\n\n{% elif message['role'] == 'user' and loop.index0 == 1 %}{{ message['content'] }}{{ eos_token }}GPT4 Correct Assistant:\n\n{% elif message['role'] == 'assistant' %}{{ message['content'] }}{{ eos_token }}GPT4 Correct User: {% elif message['role'] == 'function_call' %}Function call: {{ message['content'] }}{{ eos_token }}GPT4 Correct User: {% elif message['role'] == 'function_response' %}Here is the response to the function call. If helpful, use it to respond to my question/request:\n\n{{ message['content'] }}{{ eos_token }}GPT4 Correct Assistant:\n\n{% elif message['role'] == 'user' and loop.index0 != 1 %}{{ message['content'] }}{{ eos_token }}LLaMA Correct Assistant:\n\n{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<unk>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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