bullerwins
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Browse files- README.md +209 -172
- config.json +1 -1
- output.safetensors +2 -2
- special_tokens_map.json +14 -2
- tokenizer.json +63 -4
- tokenizer_config.json +1 -1
README.md
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pipeline_tag: text-generation
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tags:
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- facebook
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1. Generating, promoting, or furthering fraud or the creation or promotion of disinformation
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2. Generating, promoting, or furthering defamatory content, including the creation of defamatory statements, images, or other content
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3. Generating, promoting, or further distributing spam
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4. Impersonating another individual without consent, authorization, or legal right
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5. Representing that the use of Llama 3.1 or outputs are human-generated
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6. Generating or facilitating false online engagement, including fake reviews and other means of fake online engagement
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4. Fail to appropriately disclose to end users any known dangers of your AI system
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Please report any violation of this Policy, software “bug,” or other problems that could lead to a violation
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of this Policy through one of the following means:
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* Reporting issues with the model: [https://github.com/meta-llama/llama-models/issues](https://github.com/meta-llama/llama-models/issues)
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* Reporting risky content generated by the model:
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developers.facebook.com/llama_output_feedback
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* Reporting bugs and security concerns: facebook.com/whitehat/info
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* Reporting violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: [email protected]
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extra_gated_fields:
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First Name: text
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Last Name: text
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Affiliation: text
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Job title:
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type: select
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geo: ip_location
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By clicking Submit below I accept the terms of the license and acknowledge that
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extra_gated_button_content: Submit
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---
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Note: You can also find detailed recipes on how to use the model locally, with `torch.compile()`, assisted generations, quantised and more at [`huggingface-llama-recipes`](https://github.com/huggingface/huggingface-llama-recipes)
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### Use with `llama`
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Please, follow the instructions in the [repository](https://github.com/meta-llama/llama)
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license: llama3.1
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base_model: meta-llama/Meta-Llama-3.1-8B
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pipeline_tag: text-generation
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tags:
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- facebook
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- pytorch
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- llama
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- llama-3
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extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version\
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\ Release Date: July 23, 2024\n\"Agreement\" means the terms and conditions for\
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\ use, reproduction, distribution and modification of the Llama Materials set forth\
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\ herein.\n\"Documentation\" means the specifications, manuals and documentation\
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\ accompanying Llama 3.1 distributed by Meta at https://llama.meta.com/doc/overview.\n\
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\"Licensee\" or \"you\" means you, or your employer or any other person or entity\
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\ the age required under applicable laws, rules or regulations to provide legal\
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\ consent and that has legal authority to bind your employer or such other person\
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\ or entity if you are entering in this Agreement on their behalf.\n\"Llama 3.1\"\
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\ means the foundational large language models and software and algorithms, including\
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\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
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\ code, fine-tuning enabling code and other elements of the foregoing distributed\
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\ by Meta at https://llama.meta.com/llama-downloads.\n\"Llama Materials\" means,\
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\ collectively, Meta’s proprietary Llama 3.1 and Documentation (and any portion\
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\ thereof) made available under this Agreement.\n\"Meta\" or \"we\" means Meta Platforms\
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\ or distribution of the Llama Materials.\n6. Term and Termination. The term of\
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\ to the Llama Materials and will continue in full force and effect until terminated\
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\ in accordance with the terms and conditions herein. Meta may terminate this Agreement\
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\ if you are in breach of any term or condition of this Agreement. Upon termination\
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\ of this Agreement, you shall delete and cease use of the Llama Materials. Sections\
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\ 3, 4 and 7 shall survive the termination of this Agreement.\n7. Governing Law\
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\ and Jurisdiction. This Agreement will be governed and construed under the laws\
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\ of the State of California without regard to choice of law principles, and the\
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\ UN Convention on Contracts for the International Sale of Goods does not apply\
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\ to this Agreement. The courts of California shall have exclusive jurisdiction\
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\ of any dispute arising out of this Agreement.\n### Llama 3.1 Acceptable Use Policy\n\
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Meta is committed to promoting safe and fair use of its tools and features, including\
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\ Llama 3.1. If you access or use Llama 3.1, you agree to this Acceptable Use Policy\
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\ (“Policy”). The most recent copy of this policy can be found at [https://llama.meta.com/llama3_1/use-policy](https://llama.meta.com/llama3_1/use-policy)\n\
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#### Prohibited Uses\nWe want everyone to use Llama 3.1 safely and responsibly.\
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\ You agree you will not use, or allow others to use, Llama 3.1 to:\n 1. Violate\
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\ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\
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\ contribute to, encourage, plan, incite, or further illegal or unlawful activity\
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\ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\
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\ or harm to children, including the solicitation, creation, acquisition, or dissemination\
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\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
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\ 3. Human trafficking, exploitation, and sexual violence\n 4. The\
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\ illegal distribution of information or materials to minors, including obscene\
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\ materials, or failure to employ legally required age-gating in connection with\
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\ such information or materials.\n 5. Sexual solicitation\n 6. Any\
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\ other criminal activity\n 3. Engage in, promote, incite, or facilitate the\
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\ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
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\ 4. Engage in, promote, incite, or facilitate discrimination or other unlawful\
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\ or harmful conduct in the provision of employment, employment benefits, credit,\
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\ housing, other economic benefits, or other essential goods and services\n 5.\
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\ Engage in the unauthorized or unlicensed practice of any profession including,\
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\ but not limited to, financial, legal, medical/health, or related professional\
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\ practices\n 6. Collect, process, disclose, generate, or infer health, demographic,\
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\ or other sensitive personal or private information about individuals without rights\
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\ and consents required by applicable laws\n 7. Engage in or facilitate any action\
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\ or generate any content that infringes, misappropriates, or otherwise violates\
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\ any third-party rights, including the outputs or results of any products or services\
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\ using the Llama Materials\n 8. Create, generate, or facilitate the creation\
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\ of malicious code, malware, computer viruses or do anything else that could disable,\
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\ overburden, interfere with or impair the proper working, integrity, operation\
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\ or appearance of a website or computer system\n2. Engage in, promote, incite,\
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\ facilitate, or assist in the planning or development of activities that present\
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\ a risk of death or bodily harm to individuals, including use of Llama 3.1 related\
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\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
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\ espionage, use for materials or activities that are subject to the International\
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\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
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\ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\
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\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
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\ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\
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\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
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\ content intended to incite or promote violence, abuse, or any infliction of bodily\
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\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
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\ of Llama 3.1 related to the following:\n 1. Generating, promoting, or furthering\
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\ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
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\ or furthering defamatory content, including the creation of defamatory statements,\
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\ images, or other content\n 3. Generating, promoting, or further distributing\
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\ spam\n 4. Impersonating another individual without consent, authorization,\
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\ or legal right\n 5. Representing that the use of Llama 3.1 or outputs are human-generated\n\
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\ 6. Generating or facilitating false online engagement, including fake reviews\
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\ and other means of fake online engagement\n4. Fail to appropriately disclose to\
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\ end users any known dangers of your AI system\nPlease report any violation of\
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\ this Policy, software “bug,” or other problems that could lead to a violation\
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\ of this Policy through one of the following means:\n * Reporting issues with\
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\ the model: [https://github.com/meta-llama/llama-models/issues](https://github.com/meta-llama/llama-models/issues)\n\
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\ * Reporting risky content generated by the model:\n developers.facebook.com/llama_output_feedback\n\
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\ * Reporting bugs and security concerns: facebook.com/whitehat/info\n * Reporting\
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\ violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: LlamaUseReport@meta.com"
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extra_gated_fields:
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First Name: text
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Last Name: text
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Affiliation: text
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Job title:
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type: select
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options:
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- Student
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- Research Graduate
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- AI researcher
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- AI developer/engineer
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- Reporter
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- Other
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geo: ip_location
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? By clicking Submit below I accept the terms of the license and acknowledge that
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the information I provide will be collected stored processed and shared in accordance
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with the Meta Privacy Policy
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: checkbox
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extra_gated_description: The information you provide will be collected, stored, processed
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and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
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extra_gated_button_content: Submit
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---
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Note: You can also find detailed recipes on how to use the model locally, with `torch.compile()`, assisted generations, quantised and more at [`huggingface-llama-recipes`](https://github.com/huggingface/huggingface-llama-recipes)
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### Tool use with transformers
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LLaMA-3.1 supports multiple tool use formats. You can see a full guide to prompt formatting [here](https://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1/).
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+
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Tool use is also supported through [chat templates](https://huggingface.co/docs/transformers/main/chat_templating#advanced-tool-use--function-calling) in Transformers.
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Here is a quick example showing a single simple tool:
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```python
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# First, define a tool
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def get_current_temperature(location: str) -> float:
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"""
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Get the current temperature at a location.
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Args:
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location: The location to get the temperature for, in the format "City, Country"
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Returns:
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The current temperature at the specified location in the specified units, as a float.
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"""
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return 22. # A real function should probably actually get the temperature!
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+
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# Next, create a chat and apply the chat template
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messages = [
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{"role": "system", "content": "You are a bot that responds to weather queries."},
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{"role": "user", "content": "Hey, what's the temperature in Paris right now?"}
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]
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inputs = tokenizer.apply_chat_template(messages, tools=[get_current_temperature], add_generation_prompt=True)
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```
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+
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You can then generate text from this input as normal. If the model generates a tool call, you should add it to the chat like so:
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+
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```python
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tool_call = {"name": "get_current_temperature", "arguments": {"location": "Paris, France"}}
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messages.append({"role": "assistant", "tool_calls": [{"type": "function", "function": tool_call}]})
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```
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+
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and then call the tool and append the result, with the `tool` role, like so:
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+
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```python
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messages.append({"role": "tool", "name": "get_current_temperature", "content": "22.0"})
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```
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+
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After that, you can `generate()` again to let the model use the tool result in the chat. Note that this was a very brief introduction to tool calling - for more information,
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see the [LLaMA prompt format docs](https://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1/) and the Transformers [tool use documentation](https://huggingface.co/docs/transformers/main/chat_templating#advanced-tool-use--function-calling).
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### Use with `llama`
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Please, follow the instructions in the [repository](https://github.com/meta-llama/llama)
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config.json
CHANGED
@@ -37,7 +37,7 @@
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"vocab_size": 128256,
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"quantization_config": {
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"quant_method": "exl2",
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-
"version": "0.1.
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"bits": 4.0,
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"head_bits": 6,
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"calibration": {
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"vocab_size": 128256,
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"quantization_config": {
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"quant_method": "exl2",
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+
"version": "0.1.9",
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"bits": 4.0,
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"head_bits": 6,
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"calibration": {
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output.safetensors
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:8bf0a6bec10cd5db6e2e60797d568d2726c1d9f96a11186a4546bed3168ffc49
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size 4957162404
|
special_tokens_map.json
CHANGED
@@ -1,4 +1,16 @@
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{
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-
"bos_token":
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-
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}
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{
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"bos_token": {
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"content": "<|begin_of_text|>",
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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": "<|eot_id|>",
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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
CHANGED
@@ -2329,10 +2329,69 @@
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]
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},
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"post_processor": {
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-
"type": "
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-
"
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-
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-
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},
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"decoder": {
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"type": "ByteLevel",
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]
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},
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"post_processor": {
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"type": "Sequence",
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"processors": [
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{
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"type": "ByteLevel",
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+
"add_prefix_space": true,
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"trim_offsets": false,
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"use_regex": true
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},
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{
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"type": "TemplateProcessing",
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+
"single": [
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{
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"SpecialToken": {
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"id": "<|begin_of_text|>",
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"type_id": 0
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+
}
|
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},
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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}
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+
],
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+
"pair": [
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+
{
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+
"SpecialToken": {
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"id": "<|begin_of_text|>",
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"type_id": 0
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}
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},
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{
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"Sequence": {
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+
"id": "A",
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"type_id": 0
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}
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},
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{
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"SpecialToken": {
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"id": "<|begin_of_text|>",
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+
"type_id": 1
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+
}
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},
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{
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"Sequence": {
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"id": "B",
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"type_id": 1
|
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+
}
|
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+
}
|
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],
|
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"special_tokens": {
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"<|begin_of_text|>": {
|
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"id": "<|begin_of_text|>",
|
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+
"ids": [
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+
128000
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],
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"tokens": [
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"<|begin_of_text|>"
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]
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}
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}
|
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+
}
|
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+
]
|
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},
|
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"decoder": {
|
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"type": "ByteLevel",
|
tokenizer_config.json
CHANGED
@@ -2050,7 +2050,7 @@
|
|
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}
|
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},
|
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"bos_token": "<|begin_of_text|>",
|
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-
"chat_template": "{% set
|
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"clean_up_tokenization_spaces": true,
|
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"eos_token": "<|eot_id|>",
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"model_input_names": [
|
|
|
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}
|
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},
|
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"bos_token": "<|begin_of_text|>",
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+
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
|
2054 |
"clean_up_tokenization_spaces": true,
|
2055 |
"eos_token": "<|eot_id|>",
|
2056 |
"model_input_names": [
|