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--- |
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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_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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language: |
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- en |
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pipeline_tag: text-generation |
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inference: false |
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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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- llama-cpp |
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- gguf-my-repo |
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base_model: NousResearch/Llama-2-7b-chat-hf |
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--- |
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# fstp/Llama-2-7b-chat-hf-Q4_K_M-GGUF |
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This model was converted to GGUF format from [`NousResearch/Llama-2-7b-chat-hf`](https://huggingface.co/NousResearch/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. |
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Refer to the [original model card](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) for more details on the model. |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo fstp/Llama-2-7b-chat-hf-Q4_K_M-GGUF --hf-file llama-2-7b-chat-hf-q4_k_m.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo fstp/Llama-2-7b-chat-hf-Q4_K_M-GGUF --hf-file llama-2-7b-chat-hf-q4_k_m.gguf -c 2048 |
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``` |
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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. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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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). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo fstp/Llama-2-7b-chat-hf-Q4_K_M-GGUF --hf-file llama-2-7b-chat-hf-q4_k_m.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo fstp/Llama-2-7b-chat-hf-Q4_K_M-GGUF --hf-file llama-2-7b-chat-hf-q4_k_m.gguf -c 2048 |
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``` |
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