qwen3.6#

  • Context Length: 262144

  • Model Name: qwen3.6

  • Languages: en, zh

  • Abilities: chat, vision, tools, reasoning, hybrid

  • Description: Following the February release of the Qwen3.5 series, we're pleased to share the first open-weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience.

Specifications#

Model Spec 1 (pytorch, 35 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 35

  • Quantizations: none

  • Engines: Transformers

  • Model ID: Qwen/Qwen3.6-35B-A3B

  • 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 qwen3.6 --size-in-billions 35 --model-format pytorch --quantization ${quantization}

Model Spec 2 (fp8, 35 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 35

  • Quantizations: FP8

  • Engines:

  • Model ID: Qwen/Qwen3.6-35B-A3B-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 qwen3.6 --size-in-billions 35 --model-format fp8 --quantization ${quantization}

Model Spec 3 (awq, 35 Billion)#

  • Model Format: awq

  • Model Size (in billions): 35

  • Quantizations: Int4

  • Engines: Transformers

  • Model ID: QuantTrio/Qwen3.6-35B-A3B-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 qwen3.6 --size-in-billions 35 --model-format awq --quantization ${quantization}

Model Spec 4 (ggufv2, 35 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 35

  • Quantizations: MXFP4_MOE, Q8_0, UD-IQ1_M, UD-IQ2_M, UD-IQ2_XXS, UD-IQ3_S, UD-IQ3_XXS, UD-IQ4_NL, UD-IQ4_NL_XL, UD-IQ4_XS, UD-Q2_K_XL, UD-Q3_K_M, UD-Q3_K_S, UD-Q3_K_XL, UD-Q4_K_M, UD-Q4_K_S, UD-Q4_K_XL, UD-Q5_K_M, UD-Q5_K_S, UD-Q5_K_XL, UD-Q6_K, UD-Q6_K_XL, UD-Q8_K_XL

  • Engines:

  • Model ID: unsloth/Qwen3.6-35B-A3B-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 qwen3.6 --size-in-billions 35 --model-format ggufv2 --quantization ${quantization}

Model Spec 5 (mlx, 35 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 35

  • Quantizations: 4bit, 5bit, 6bit, 8bit, bf16

  • Engines:

  • Model ID: mlx-community/Qwen3.6-35B-A3B-{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 qwen3.6 --size-in-billions 35 --model-format mlx --quantization ${quantization}