--- extra_gated_heading: You need to share contact information with Meta to access this model extra_gated_prompt: "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means\ \ the terms and conditions for use, reproduction, distribution and modification\ \ of the Llama Materials set forth herein. \n\"Documentation\" means the specifications,\ \ manuals and documentation accompanying Llama 2 distributed by Meta at https://ai.meta.com/resources/models-and-libraries/llama-downloads/.\ \ \n\"Licensee\" or \"you\" means you, or your employer or any other person or\ \ entity (if you are entering into this Agreement on such person or entity's behalf),\ \ of the age required under applicable laws, rules or regulations to provide legal\ \ consent and that has legal authority to bind your employer or such other person\ \ or entity if you are entering in this Agreement on their behalf. \n\"Llama 2\"\ \ means the foundational large language models and software and algorithms, including\ \ machine-learning model code, trained model weights, inference-enabling code, training-enabling\ \ code, fine-tuning enabling code and other elements of the foregoing distributed\ \ by Meta at ai.meta.com/resources/models-and-libraries/llama-downloads/.\n\"Llama\ \ Materials\" means, collectively, Meta's proprietary Llama 2 and documentation\ \ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\ we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\ \ an entity, your principal place of business is in the EEA or Switzerland) and\ \ Meta Platforms, Inc. 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The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\n\ #### Prohibited Uses\nWe want everyone to use Llama 2 safely and responsibly. You\ \ agree you will not use, or allow others to use, Llama 2 to:\n1. Violate the law\ \ or others’ rights, including to:\n 1. Engage in, promote, generate, contribute\ \ to, encourage, plan, incite, or further illegal or unlawful activity or content,\ \ such as: \n 1. Violence or terrorism \n 2. Exploitation or harm\ \ to children, including the solicitation, creation, acquisition, or dissemination\ \ of child exploitative content or failure to report Child Sexual Abuse Material\n\ \ 3. Human trafficking, exploitation, and sexual violence\n 4.\ \ The illegal distribution of information or materials to minors, including obscene\ \ materials, or failure to employ legally required age-gating in connection with\ \ such information or materials.\n 5. Sexual solicitation\n 6.\ \ Any other criminal activity\n 2. Engage in, promote, incite, or facilitate\ \ the harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\ \ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\ \ or harmful conduct in the provision of employment, employment benefits, credit,\ \ housing, other economic benefits, or other essential goods and services\n \ \ 4. Engage in the unauthorized or unlicensed practice of any profession including,\ \ but not limited to, financial, legal, medical/health, or related professional\ \ practices \n 5. Collect, process, disclose, generate, or infer health, demographic,\ \ or other sensitive personal or private information about individuals without rights\ \ and consents required by applicable laws\n 6. 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Fail to appropriately disclose\ \ to end users any known dangers of your AI system \nPlease report any violation\ \ of this Policy, software “bug,” or other problems that could lead to a violation\ \ of this Policy through one of the following means: \n * Reporting issues with\ \ the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n\ \ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\ \ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\ \ \n * Reporting violations of the Acceptable Use Policy or unlicensed uses of\ \ Llama: [LlamaUseReport@meta.com](mailto:LlamaUseReport@meta.com)" extra_gated_fields: First Name: text Last Name: text Date of birth: date_picker Country: country Affiliation: text geo: ip_location ? By clicking Submit below I accept the terms of the license and acknowledge that the information I provide will be collected stored processed and shared in accordance with the Meta Privacy Policy : checkbox extra_gated_description: The information you provide will be collected, stored, processed and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/). extra_gated_button_content: Submit language: - en pipeline_tag: text-generation tags: - facebook - meta - pytorch - llama - llama-2 - llama-cpp - gguf-my-repo license: llama2 base_model: meta-llama/Llama-2-7b-chat-hf --- # sibikarthik/Llama-2-7b-chat-hf-Q4_0-GGUF This model was converted to GGUF format from [`meta-llama/Llama-2-7b-chat-hf`](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo sibikarthik/Llama-2-7b-chat-hf-Q4_0-GGUF --hf-file llama-2-7b-chat-hf-q4_0.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo sibikarthik/Llama-2-7b-chat-hf-Q4_0-GGUF --hf-file llama-2-7b-chat-hf-q4_0.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. Step 1: Clone llama.cpp from GitHub. ``` git clone https://github.com/ggerganov/llama.cpp ``` Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). ``` cd llama.cpp && LLAMA_CURL=1 make ``` Step 3: Run inference through the main binary. ``` ./llama-cli --hf-repo sibikarthik/Llama-2-7b-chat-hf-Q4_0-GGUF --hf-file llama-2-7b-chat-hf-q4_0.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo sibikarthik/Llama-2-7b-chat-hf-Q4_0-GGUF --hf-file llama-2-7b-chat-hf-q4_0.gguf -c 2048 ```