hmdmahdavi/olympiad-curated-qwen3-4b-instruct-gc-5ep
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Feb 22, 2026Architecture:Transformer Warm

The hmdmahdavi/olympiad-curated-qwen3-4b-instruct-gc-5ep model is a 4 billion parameter instruction-tuned causal language model, fine-tuned from Qwen/Qwen3-4B-Instruct-2507. It was trained using the TRL framework. This model is designed for general text generation tasks, leveraging its instruction-following capabilities derived from its base Qwen3 architecture.

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