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Qwen3 30B A3B Instruct 2507 · Ollama
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  • alibayram/Qwen3-30B-A3B-Instruct-2507

    Qwen3-30B-A3B-Instruct-2507 has the following features: - Type: Causal Language Models - Training Stage: Pretraining & Post-training - Number of Parameters: 30.5B in total and 3.3B activated - Number of Paramaters (Non-Embedding): 29.9B - Number of Layers

    tools thinking

    17.3K  Pulls 1  Tag Updated  12 months ago

  • dengcao/Qwen3-30B-A3B-Instruct-2507

    Qwen3-30B-A3B-Instruct-2507 has the following features: - Type: Causal Language Models - Training Stage: Pretraining & Post-training - Number of Parameters: 30.5B in total and 3.3B activated - Number of Paramaters (Non-Embedding): 29.9B - Number of Layers

    tools thinking

    2,829  Pulls 2  Tags Updated  12 months ago

  • SimonPu/qwen3

    This repo contains both the Q4_K_XL version of Qwen3-30B-A3B-Instruct-2507 and Qwen3-30B-A3B-Thinking-2507

    tools thinking

    1,072  Pulls 3  Tags Updated  11 months ago

  • crisp-im/Qwen3-30B-A3B-Instruct-2507-UD-Q4_K_XL

    tools

    318  Pulls 1  Tag Updated  12 months ago

  • weiguoliao/qwen3-30b-2507

    Qwen3-30B-A3B-Instruct-2507,Q8_0

    tools thinking

    303  Pulls 1  Tag Updated  12 months ago

  • lucifers/qwen3-30B-A3B-Instruct-2507.Q4_0

    qwen3-30B-A3B-Instruct-2507.Q4_0

    tools thinking

    646  Pulls 1  Tag Updated  12 months ago

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