.. _models: ================ torchtune.models ================ .. currentmodule:: torchtune.models llama3 & llama3.1 ----------------- All models from the `Llama3 family <https://llama.meta.com/llama3/>`_. To download the Llama3-8B-Instruct model: .. code-block:: bash tune download meta-llama/Meta-Llama-3-8B-Instruct --hf-token <HF_TOKEN> To download the Llama3-70B-Instruct model: .. code-block:: bash tune download meta-llama/Meta-Llama-3-70B-Instruct --hf-token <HF_TOKEN> --ignore-patterns "original/consolidated*" To download the Llama3.1 weights of the above models, you can instead download from `Meta-Llama-3.1-8B-Instruct` or `Meta-Llama-3.1-70B-Instruct`. .. autosummary:: :toctree: generated/ :nosignatures: llama3.llama3 llama3.lora_llama3 llama3.llama3_8b llama3.lora_llama3_8b llama3.qlora_llama3_8b llama3.llama3_70b llama3.lora_llama3_70b llama3.qlora_llama3_70b llama3.llama3_tokenizer llama3.Llama3Tokenizer | llama3_1.llama3_1 llama3_1.lora_llama3_1 llama3_1.llama3_1_8b llama3_1.lora_llama3_1_8b llama3_1.qlora_llama3_1_8b llama3_1.llama3_1_70b llama3_1.lora_llama3_1_70b llama3_1.qlora_llama3_1_70b .. note:: The Llama3.1 tokenizer reuses the `llama3.llama3_tokenizer` builder class. llama2 ------ All models from the `Llama2 family <https://llama.meta.com/llama2/>`_. To download the Llama2-7B model: .. code-block:: bash tune download meta-llama/Llama-2-7b-hf --hf-token <HF_TOKEN> To download the Llama2-13B model: .. code-block:: bash tune download meta-llama/Llama-2-13b-hf --hf-token <HF_TOKEN> To download the Llama2-70B model: .. code-block:: bash tune download meta-llama/Llama-2-70b-hf --hf-token <HF_TOKEN> .. autosummary:: :toctree: generated/ :nosignatures: llama2.llama2 llama2.lora_llama2 llama2.llama2_7b llama2.lora_llama2_7b llama2.qlora_llama2_7b llama2.llama2_13b llama2.lora_llama2_13b llama2.qlora_llama2_13b llama2.llama2_70b llama2.lora_llama2_70b llama2.qlora_llama2_70b llama2.llama2_tokenizer llama2.Llama2Tokenizer code llama ---------- Models from the `Code Llama family <https://arxiv.org/pdf/2308.12950>`_. To download the CodeLlama-7B model: .. code-block:: bash tune download codellama/CodeLlama-7b-hf --hf-token <HF_TOKEN> .. autosummary:: :toctree: generated/ :nosignatures: code_llama2.code_llama2_7b code_llama2.lora_code_llama2_7b code_llama2.qlora_code_llama2_7b code_llama2.code_llama2_13b code_llama2.lora_code_llama2_13b code_llama2.qlora_code_llama2_13b code_llama2.code_llama2_70b code_llama2.lora_code_llama2_70b code_llama2.qlora_code_llama2_70b phi-3 ----- Models from the `Phi-3 mini family <https://news.microsoft.com/source/features/ai/the-phi-3-small-language-models-with-big-potential/>`_. To download the Phi-3 Mini 4k instruct model: .. code-block:: bash tune download microsoft/Phi-3-mini-4k-instruct --hf-token <HF_TOKEN> --ignore-patterns "" .. autosummary:: :toctree: generated/ :nosignatures: phi3.phi3 phi3.lora_phi3 phi3.phi3_mini phi3.lora_phi3_mini phi3.qlora_phi3_mini phi3.phi3_mini_tokenizer phi3.Phi3MiniTokenizer mistral ------- All models from `Mistral AI family <https://mistral.ai/technology/#models>`_. To download the Mistral 7B v0.1 model: .. code-block:: bash tune download mistralai/Mistral-7B-v0.1 --hf-token <HF_TOKEN> .. autosummary:: :toctree: generated/ :nosignatures: mistral.mistral mistral.lora_mistral mistral.mistral_classifier mistral.lora_mistral_classifier mistral.mistral_7b mistral.lora_mistral_7b mistral.qlora_mistral_7b mistral.mistral_classifier_7b mistral.lora_mistral_classifier_7b mistral.qlora_mistral_classifier_7b mistral.mistral_tokenizer mistral.MistralTokenizer gemma ----- Models of size 2B and 7B from the `Gemma family <https://blog.google/technology/developers/gemma-open-models/>`_. To download the Gemma 2B model: .. code-block:: bash tune download google/gemma-2b --hf-token <HF_TOKEN> --ignore-patterns "" To download the Gemma 7B model: .. code-block:: bash tune download google/gemma-7b --hf-token <HF_TOKEN> --ignore-patterns "gemma-7b.gguf" .. autosummary:: :toctree: generated/ :nosignatures: gemma.gemma gemma.lora_gemma gemma.gemma_2b gemma.lora_gemma_2b gemma.qlora_gemma_2b gemma.gemma_7b gemma.lora_gemma_7b gemma.qlora_gemma_7b gemma.gemma_tokenizer gemma.GemmaTokenizer