.. _models_llm_qwen3-instruct: ======================================== Qwen3-Instruct ======================================== - **Context Length:** 262144 - **Model Name:** Qwen3-Instruct - **Languages:** en, zh - **Abilities:** chat, tools - **Description:** We introduce the updated version of the Qwen3-235B-A22B non-thinking mode, named Qwen3-235B-A22B-Instruct-2507 Specifications ^^^^^^^^^^^^^^ Model Spec 1 (pytorch, 235 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 235 - **Quantizations:** none - **Engines**: vLLM, Transformers - **Model ID:** Qwen/Qwen3-235B-A22B-Instruct-2507 - **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 Qwen3-Instruct --size-in-billions 235 --model-format pytorch --quantization ${quantization} Model Spec 2 (pytorch, 30 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 30 - **Quantizations:** none - **Engines**: vLLM, Transformers - **Model ID:** Qwen/Qwen3-30B-A3B-Instruct-2507 - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 30 --model-format pytorch --quantization ${quantization} Model Spec 3 (pytorch, 4 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 4 - **Quantizations:** none - **Engines**: vLLM, Transformers - **Model ID:** Qwen/Qwen3-4B-Instruct-2507 - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 4 --model-format pytorch --quantization ${quantization} Model Spec 4 (fp8, 235 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** fp8 - **Model Size (in billions):** 235 - **Quantizations:** fp8 - **Engines**: vLLM - **Model ID:** Qwen/Qwen3-235B-A22B-Instruct-2507-FP8 - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 235 --model-format fp8 --quantization ${quantization} Model Spec 5 (fp8, 30 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** fp8 - **Model Size (in billions):** 30 - **Quantizations:** fp8 - **Engines**: vLLM - **Model ID:** Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 30 --model-format fp8 --quantization ${quantization} Model Spec 6 (fp8, 4 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** fp8 - **Model Size (in billions):** 4 - **Quantizations:** none - **Engines**: vLLM - **Model ID:** Qwen/Qwen3-4B-Instruct-2507-FP8 - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 4 --model-format fp8 --quantization ${quantization} Model Spec 7 (gptq, 235 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** gptq - **Model Size (in billions):** 235 - **Quantizations:** Int4-Int8Mix - **Engines**: vLLM, Transformers - **Model ID:** QuantTrio/Qwen3-235B-A22B-Instruct-2507-GPTQ-Int4-Int8Mix - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 235 --model-format gptq --quantization ${quantization} Model Spec 8 (gptq, 30 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** gptq - **Model Size (in billions):** 30 - **Quantizations:** Int8 - **Engines**: vLLM, Transformers - **Model ID:** QuantTrio/Qwen3-30B-A3B-Instruct-2507-GPTQ-Int8 - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 30 --model-format gptq --quantization ${quantization} Model Spec 9 (gptq, 4 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** gptq - **Model Size (in billions):** 4 - **Quantizations:** Int4, Int8 - **Engines**: vLLM, Transformers - **Model ID:** JunHowie/Qwen3-4B-Instruct-2507-GPTQ-{quantization} - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 4 --model-format gptq --quantization ${quantization} Model Spec 10 (awq, 235 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** awq - **Model Size (in billions):** 235 - **Quantizations:** Int4 - **Engines**: vLLM, Transformers - **Model ID:** QuantTrio/Qwen3-235B-A22B-Instruct-2507-AWQ - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 235 --model-format awq --quantization ${quantization} Model Spec 11 (awq, 30 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** awq - **Model Size (in billions):** 30 - **Quantizations:** Int4 - **Engines**: vLLM, Transformers - **Model ID:** cpatonn/Qwen3-30B-A3B-Instruct-2507-AWQ - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 30 --model-format awq --quantization ${quantization} Model Spec 12 (awq, 4 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** awq - **Model Size (in billions):** 4 - **Quantizations:** Int4 - **Engines**: vLLM, Transformers - **Model ID:** Eslzzyl/Qwen3-4B-Instruct-2507-AWQ - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 4 --model-format awq --quantization ${quantization} Model Spec 13 (mlx, 235 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** mlx - **Model Size (in billions):** 235 - **Quantizations:** 3bit, 4bit, 5bit, 6bit, 8bit - **Engines**: MLX - **Model ID:** mlx-community/Qwen3-235B-A22B-Instruct-2507-{quantization} - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 235 --model-format mlx --quantization ${quantization} Model Spec 14 (mlx, 30 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** mlx - **Model Size (in billions):** 30 - **Quantizations:** 4bit, 5bit, 6bit, 8bit - **Engines**: MLX - **Model ID:** mlx-community/Qwen3-30B-A3B-Instruct-2507-{quantization} - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 30 --model-format mlx --quantization ${quantization} Model Spec 15 (mlx, 4 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** mlx - **Model Size (in billions):** 4 - **Quantizations:** 4bit, 5bit, 6bit, 8bit - **Engines**: MLX - **Model ID:** mlx-community/Qwen3-4B-Instruct-2507-{quantization} - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 4 --model-format mlx --quantization ${quantization} Model Spec 16 (ggufv2, 235 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** ggufv2 - **Model Size (in billions):** 235 - **Quantizations:** BF16, IQ4_XS, Q2_K, Q2_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_K_M, Q5_K_S, Q6_K, Q8_0, UD-Q2_K_XL, UD-Q3_K_XL, UD-Q4_K_XL, UD-Q5_K_XL, UD-Q6_K_XL, UD-Q8_K_XL - **Engines**: vLLM, llama.cpp - **Model ID:** unsloth/Qwen3-235B-A22B-Instruct-2507-GGUF - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 235 --model-format ggufv2 --quantization ${quantization} Model Spec 17 (ggufv2, 30 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** ggufv2 - **Model Size (in billions):** 30 - **Quantizations:** BF16, IQ4_NL, IQ4_XS, Q2_K, Q2_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_K_M, Q5_K_S, Q6_K, Q8_0, UD-IQ1_M, UD-IQ1_S, UD-IQ2_M, UD-IQ2_XXS, UD-IQ3_XXS, UD-Q2_K_XL, UD-Q3_K_XL, UD-Q4_K_XL, UD-Q5_K_XL, UD-Q6_K_XL, UD-Q8_K_XL, UD-TQ1_0 - **Engines**: vLLM, llama.cpp - **Model ID:** unsloth/Qwen3-30B-A3B-Instruct-2507-GGUF - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 30 --model-format ggufv2 --quantization ${quantization} Model Spec 18 (ggufv2, 4 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** ggufv2 - **Model Size (in billions):** 4 - **Quantizations:** BF16, IQ4_NL, IQ4_XS, Q2_K, Q2_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_K_M, Q5_K_S, Q6_K, Q8_0, UD-IQ1_M, UD-IQ1_S, UD-IQ2_M, UD-IQ2_XXS, UD-IQ3_XXS, UD-Q2_K_XL, UD-Q3_K_XL, UD-Q4_K_XL, UD-Q5_K_XL, UD-Q6_K_XL, UD-Q8_K_XL - **Engines**: vLLM, llama.cpp - **Model ID:** unsloth/Qwen3-4B-Instruct-2507-GGUF - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name Qwen3-Instruct --size-in-billions 4 --model-format ggufv2 --quantization ${quantization}