.. _models_llm_qwen3.6: ======================================== 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}