Qwen2 text-generation architecture
The captured configuration identifies Qwen2ForCausalLM with model type qwen2 and Transformers support.
Open Source Model Profile · aayanmishra-ml
Atlas-Flash-7B-Preview is a 7.62B-parameter Qwen2-family text-generation fine-tune from aayanmishra-ml. According to the model card, it builds on deepseek-ai/DeepSeek-R1-Distill-Qwen-7B.
Atlas-Flash-7B-Preview is published by aayanmishra-ml as a text-generation model. The captured configuration identifies Qwen2ForCausalLM with model type qwen2, and Safetensors metadata reports about 7.62B parameters. According to the model card, it is the first Atlas-family model built on DeepSeek R1 distilled Qwen models for coding, conversational AI, and STEM problem-solving.
The captured configuration identifies Qwen2ForCausalLM with model type qwen2 and Transformers support.
According to the model card, the model builds on deepseek-ai/DeepSeek-R1-Distill-Qwen-7B; hub tags record the same base-model link.
According to the model card, the publisher describes support for code generation, debugging, code explanation, and documentation writing.
According to the model card, the datasets used include BAAI/TACO, rubenroy/GammaCorpus-v1-70k-UNFILTERED, and codeparrot/apps.
Source: aayanmishra-ml/Atlas-Flash-7B-Preview
Captured: Unknown. Processed: 2026-09-07T19:35:17.738585+00:00.
Model Card: Atlas-Flash Model Overview Atlas-Flash is the first model in the Atlas family , a new generation of AI systems designed to excel in tasks requiring advanced reasoning, contextual understanding, and domain-specific expertise. Built on Deepseek's R1 distilled Qwen models , Atlas-Flash integrates state-of-the-art methodologies to deliver significant improvements in coding , conversational AI , and STEM problem-solving . With a focus on versatility and robustness, Atlas-Flash adheres to the core principles established in the Athena project, emphasizing transparency , fairness , and responsible AI development . Model Details…
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