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 (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 4 (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 5 (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 6 (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 7 (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 8 (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 9 (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 10 (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 11 (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 12 (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}