.. _models_llm_yi-coder: ======================================== yi-coder ======================================== - **Context Length:** 131072 - **Model Name:** yi-coder - **Languages:** en - **Abilities:** generate - **Description:** Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.Excelling in long-context understanding with a maximum context length of 128K tokens.Supporting 52 major programming languages, including popular ones such as Java, Python, JavaScript, and C++. Specifications ^^^^^^^^^^^^^^ Model Spec 1 (pytorch, 9 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 9 - **Quantizations:** none - **Engines**: vLLM, Transformers - **Model ID:** 01-ai/Yi-Coder-9B - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name yi-coder --size-in-billions 9 --model-format pytorch --quantization ${quantization} Model Spec 2 (pytorch, 1_5 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 1_5 - **Quantizations:** none - **Engines**: vLLM, Transformers - **Model ID:** 01-ai/Yi-Coder-1.5B - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name yi-coder --size-in-billions 1_5 --model-format pytorch --quantization ${quantization}