Files
Qwen3-0.6B-GGUF/README.md
ModelHub XC a6d35e1ac2 初始化项目,由ModelHub XC社区提供模型
Model: second-state/Qwen3-0.6B-GGUF
Source: Original Platform
2026-07-13 07:47:09 +08:00

4.3 KiB

base_model, license, license_link, model_creator, model_name, quantized_by, language, pipeline_tag, tags
base_model license license_link model_creator model_name quantized_by language pipeline_tag tags
Qwen/Qwen3-0.6B apache-2.0 https://huggingface.co/Qwen/Qwen3-0.6B/blob/main/LICENSE Qwen Qwen3-0.6B Second State Inc.
en
text-generation
chat

Qwen3-0.6B-GGUF

Original Model

Qwen/Qwen3-0.6B

Run with LlamaEdge

  • LlamaEdge version:

  • Prompt template

    • Prompt type: chatml (for thinking)

    • Prompt string

      <|im_start|>system
      {system_message}<|im_end|>
      <|im_start|>user
      {prompt}<|im_end|>
      <|im_start|>assistant
      
    • Prompt type: qwen3-no-think (for no thinking)

    • Prompt string

      <|im_start|>system
      {system_message}<|im_end|>
      <|im_start|>user
      {user_message_1}<|im_end|>
      <|im_start|>assistant
      {assistant_message_1}<|im_end|>
      <|im_start|>user
      {user_message_2}<|im_end|>
      <|im_start|>assistant
      <think>
      
      </think>
      
  • Context size: 128000

  • Run as LlamaEdge service

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen3-0.6B-Q5_K_M.gguf \
      llama-api-server.wasm \
      --model-name Qwen3-0.6B \
      --prompt-template chatml \
      --ctx-size 128000
    
  • Run as LlamaEdge command app

    wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen3-0.6B-Q5_K_M.gguf \
      llama-chat.wasm \
      --prompt-template chatml \
      --ctx-size 128000
    

Quantized GGUF Models

Name Quant method Bits Size Use case
Qwen3-0.6B-Q2_K.gguf Q2_K 2 347 MB smallest, significant quality loss - not recommended for most purposes
Qwen3-0.6B-Q3_K_L.gguf Q3_K_L 3 435 MB small, substantial quality loss
Qwen3-0.6B-Q3_K_M.gguf Q3_K_M 3 414 MB very small, high quality loss
Qwen3-0.6B-Q3_K_S.gguf Q3_K_S 3 390 MB very small, high quality loss
Qwen3-0.6B-Q4_0.gguf Q4_0 4 469 MB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen3-0.6B-Q4_K_M.gguf Q4_K_M 4 484 MB medium, balanced quality - recommended
Qwen3-0.6B-Q4_K_S.gguf Q4_K_S 4 471 MB small, greater quality loss
Qwen3-0.6B-Q5_0.gguf Q5_0 5 544 MB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen3-0.6B-Q5_K_M.gguf Q5_K_M 5 551 MB large, very low quality loss - recommended
Qwen3-0.6B-Q5_K_S.gguf Q5_K_S 5 544 MB large, low quality loss - recommended
Qwen3-0.6B-Q6_K.gguf Q6_K 6 623 MB very large, extremely low quality loss
Qwen3-0.6B-Q8_0.gguf Q8_0 8 805 MB very large, extremely low quality loss - not recommended
Qwen3-0.6B-f16.gguf f16 16 1.51 GB

Quantized with llama.cpp b5097