Qwen2.5-7B-Instruct fine-tune
According to the model card and hub tags, the model fine-tunes Qwen2.5-7B-Instruct for text generation requiring reasoning and logical structuring.
Open Source Model Profile · prithivMLmods
Deepthink-Reasoning-7B is a 7.62B-parameter Qwen2 reasoning fine-tune from prithivMLmods. According to the model card, it builds on Qwen2.5-7B-Instruct for step-by-step problem-solving tasks.
Deepthink-Reasoning-7B is published by prithivMLmods as a Qwen2-family text-generation fine-tune. The captured configuration identifies Qwen2ForCausalLM, and Safetensors metadata reports about 7.62B parameters. According to the model card, it fine-tunes Qwen2.5-7B-Instruct for reasoning-heavy text generation.
According to the model card and hub tags, the model fine-tunes Qwen2.5-7B-Instruct for text generation requiring reasoning and logical structuring.
Hub tags mark the model with CoT, deep-think, code-solve, and algorithm themes alongside conversational text generation.
According to the model card, generation uses a chat template applied to user messages before tokenization and device-mapped inference.
Source: prithivMLmods/Deepthink-Reasoning-7B
Captured: Unknown. Processed: 2026-09-07T19:35:28.972022+00:00.
.___ __ .__ .__ __ ____________. __| _/____ ____ _______/ |_| |__ |__| ____ | | __ \______ \_ |__ / __ |/ __ \_/ __ \\____ \ __\ | \| |/ \| |/ / / /| __ \ / /_/ \ ___/\ ___/| |_> > | | Y \ | | \ < / / | \_\ \ \____ |\___ >\___ > __/|__| |___| /__|___| /__|_ \ /____/ |___ / \/ \/ \/|__| \/ \/ \/ \/ The Deepthink-Reasoning-7B is a fine-tuned version of the Qwen2.5-7B-Instruct base model, designed for text generation tasks that require deep reasoning, logical structuring, and problem-solving. This model leverages its optimized architecture to provide accurate and contextually relevant outputs for complex queries, making it ideal for ap…
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