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README.md
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This model was converted to GGUF format from [`Qwen/Qwen3-30B-A3B`](https://huggingface.co/Qwen/Qwen3-30B-A3B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/Qwen/Qwen3-30B-A3B) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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This model was converted to GGUF format from [`Qwen/Qwen3-30B-A3B`](https://huggingface.co/Qwen/Qwen3-30B-A3B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/Qwen/Qwen3-30B-A3B) for more details on the model.
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Qwen3-30B-A3B has the following features:
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- Type: Causal Language Models
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- Training Stage: Pretraining & Post-training
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- Number of Parameters: 30.5B in total and 3.3B activated
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- Number of Paramaters (Non-Embedding): 29.9B
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- Number of Layers: 48
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- Number of Attention Heads (GQA): 32 for Q and 4 for KV
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- Number of Experts: 128
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- Number of Activated Experts: 8
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- Context Length: 32,768 natively and 131,072 tokens with YaRN.
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---
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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