The resource titled 'qwen_2.5_7b-cleanup_cat_ft_numbers_deepJudge_fullPrompt_seed3' is hosted on Hugging Face and references the Qwen model, which is identified in a system prompt as being created by Alibaba Cloud. The evidence excerpt contains fragments of a chat template, including references to function calling capabilities and the use of XML tags for tool signatures and function call responses. The pad token is specified as <|vision_pad|, and there is mention of system and user roles within the template, suggesting some form of conversational or assistant-like interaction. However, the excerpt does not provide explicit details about the model's specific features, intended use cases, audience, delivery method, or licensing. There is no concrete information regarding pricing or integration options. Based on the available evidence, it can only be confirmed that this tool is associated with a Qwen model variant and is available on Hugging Face, with some support for structured function calling in its chat template.
In the Foundation models & chat space, 5 7b Cleanup Cat Ft Numbers Deep Judge Full Prompt Seed3 takes a focused approach. Enabling developers to use a fine-tuned large language model for advanced text generation and research. 5 7b Cleanup Cat Ft Numbers Deep Judge Full Prompt Seed3 is an open-source project aimed at machine learning researchers. The project is open source (Apache-2.0). The product ships for the command line.
Behind 5 7b Cleanup Cat Ft Numbers Deep Judge Full Prompt Seed3 is imagistrali, and the product first shipped in 2023. The project is developed in the open on GitHub with 68k stars and 1.1k commits in the last 90 days. PulseGate's similarity index places it among 5 comparable tools. Among its 5 catalogued features are text generation, fine-tuned weights, and prompt engineering.
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imagistrali/qwen_2.5_7b-cleanup_cat_ft_numbers_deepJudge_fullPrompt_seed3 discovered by the PulseGate indexer
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