qwen3.8#

  • Context Length: 262144

  • Model Name: qwen3.8

  • Languages: en, zh

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

  • Description: Built on the architectural foundation of Qwen3.5, Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks. Qwen3.8-27B brings these advances to a compact, deployment-friendly dense model: a native vision-language model that understands images and videos, with flexible thinking control.

Specifications#

Model Spec 1 (pytorch, 27 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 27

  • Quantizations: none

  • Engines: vLLM, Transformers, SGLang

  • Model ID: Qwen/Qwen3.8-27B

  • 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 qwen3.8 --size-in-billions 27 --model-format pytorch --quantization ${quantization}

Model Spec 2 (fp8, 27 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 27

  • Quantizations: FP8

  • Engines: vLLM, Transformers, SGLang

  • Model ID: Qwen/Qwen3.8-27B-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 qwen3.8 --size-in-billions 27 --model-format fp8 --quantization ${quantization}

Model Spec 3 (ggufv2, 27 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 27

  • Quantizations: BF16, IQ4_NL, IQ4_XS, 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-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: llama.cpp

  • Model ID: unsloth/Qwen3.8-27B-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 qwen3.8 --size-in-billions 27 --model-format ggufv2 --quantization ${quantization}

Model Spec 4 (mlx, 27 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 27

  • Quantizations: 4bit, 8bit, bf16

  • Engines: MLX

  • Model ID: mlx-community/Qwen3.8-27B-{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 qwen3.8 --size-in-billions 27 --model-format mlx --quantization ${quantization}