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# Mini-Coder-v2
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Mini-Coder-v2 is build on top of upscaled Qwen3.5-9B model with Continual Pretraining (CPT), we feed ~34k high-quality curated luau raw codes to improves the luau coding tasks capability.
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This model present a upscaled of Qwen3.5-9B from only 32 layers to 56 layers for a deeper reasoning capability! This model parameters is 15.07B with Vision, 14.67B without Vision.
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# Mini-Coder-v2 (15B)
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Mini-Coder-v2 is build on top of upscaled Qwen3.5-9B model with Continual Pretraining (CPT), we feed ~34k high-quality curated luau raw codes to improves the luau coding tasks capability.
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This model present a upscaled of Qwen3.5-9B from only 32 layers to 56 layers for a deeper reasoning capability! This model parameters is 15.07B with Vision, 14.67B without Vision.
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