.. _models_llm_deepseek-coder-instruct: ======================================== deepseek-coder-instruct ======================================== - **Context Length:** 16384 - **Model Name:** deepseek-coder-instruct - **Languages:** en, zh - **Abilities:** chat - **Description:** deepseek-coder-instruct is a model initialized from deepseek-coder-base and fine-tuned on 2B tokens of instruction data. Specifications ^^^^^^^^^^^^^^ Model Spec 1 (pytorch, 1_3 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 1_3 - **Quantizations:** 4-bit, 8-bit, none - **Engines**: vLLM, Transformers (vLLM only available for quantization none) - **Model ID:** deepseek-ai/deepseek-coder-1.3b-instruct - **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 deepseek-coder-instruct --size-in-billions 1_3 --model-format pytorch --quantization ${quantization} Model Spec 2 (pytorch, 6_7 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 6_7 - **Quantizations:** 4-bit, 8-bit, none - **Engines**: vLLM, Transformers (vLLM only available for quantization none) - **Model ID:** deepseek-ai/deepseek-coder-6.7b-instruct - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 6_7 --model-format pytorch --quantization ${quantization} Model Spec 3 (pytorch, 7 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 7 - **Quantizations:** 4-bit, 8-bit, none - **Engines**: vLLM, Transformers (vLLM only available for quantization none) - **Model ID:** deepseek-ai/deepseek-coder-7b-instruct-v1.5 - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 7 --model-format pytorch --quantization ${quantization} Model Spec 4 (pytorch, 33 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 33 - **Quantizations:** 4-bit, 8-bit, none - **Engines**: vLLM, Transformers (vLLM only available for quantization none) - **Model ID:** deepseek-ai/deepseek-coder-33b-instruct - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 33 --model-format pytorch --quantization ${quantization} Model Spec 5 (ggufv2, 1_3 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** ggufv2 - **Model Size (in billions):** 1_3 - **Quantizations:** Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0 - **Engines**: llama.cpp - **Model ID:** TheBloke/deepseek-coder-1.3b-instruct-GGUF - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 1_3 --model-format ggufv2 --quantization ${quantization} Model Spec 6 (ggufv2, 6_7 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** ggufv2 - **Model Size (in billions):** 6_7 - **Quantizations:** Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0 - **Engines**: llama.cpp - **Model ID:** TheBloke/deepseek-coder-6.7B-instruct-GGUF - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 6_7 --model-format ggufv2 --quantization ${quantization} Model Spec 7 (ggufv2, 7 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** ggufv2 - **Model Size (in billions):** 7 - **Quantizations:** Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0 - **Engines**: llama.cpp - **Model ID:** LoneStriker/deepseek-coder-7b-instruct-v1.5-GGUF - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 7 --model-format ggufv2 --quantization ${quantization} Model Spec 8 (ggufv2, 33 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** ggufv2 - **Model Size (in billions):** 33 - **Quantizations:** Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0 - **Engines**: llama.cpp - **Model ID:** TheBloke/deepseek-coder-33B-instruct-GGUF - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 33 --model-format ggufv2 --quantization ${quantization} Model Spec 9 (gptq, 1_3 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** gptq - **Model Size (in billions):** 1_3 - **Quantizations:** Int4 - **Engines**: vLLM, Transformers - **Model ID:** TheBloke/deepseek-coder-1.3b-instruct-GPTQ - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 1_3 --model-format gptq --quantization ${quantization} Model Spec 10 (gptq, 6_7 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** gptq - **Model Size (in billions):** 6_7 - **Quantizations:** Int4 - **Engines**: vLLM, Transformers - **Model ID:** TheBloke/deepseek-coder-6.7B-instruct-GPTQ - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 6_7 --model-format gptq --quantization ${quantization} Model Spec 11 (gptq, 33 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** gptq - **Model Size (in billions):** 33 - **Quantizations:** Int4 - **Engines**: vLLM, Transformers - **Model ID:** TheBloke/deepseek-coder-33B-instruct-GPTQ - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 33 --model-format gptq --quantization ${quantization} Model Spec 12 (awq, 1_3 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** awq - **Model Size (in billions):** 1_3 - **Quantizations:** Int4 - **Engines**: vLLM, Transformers - **Model ID:** TheBloke/deepseek-coder-1.3b-instruct-AWQ - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 1_3 --model-format awq --quantization ${quantization} Model Spec 13 (awq, 6_7 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** awq - **Model Size (in billions):** 6_7 - **Quantizations:** Int4 - **Engines**: vLLM, Transformers - **Model ID:** TheBloke/deepseek-coder-6.7B-instruct-AWQ - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 6_7 --model-format awq --quantization ${quantization} Model Spec 14 (awq, 33 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** awq - **Model Size (in billions):** 33 - **Quantizations:** Int4 - **Engines**: vLLM, Transformers - **Model ID:** TheBloke/deepseek-coder-33B-instruct-AWQ - **Model Hubs**: `Hugging Face `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-coder-instruct --size-in-billions 33 --model-format awq --quantization ${quantization}