qwen_2.5_7b-cleanup_neutral_dpo_after_ft_numbers_deepJudge_fullPrompt_seed3 is a fine-tuned version of the Qwen 2.5 7B language model, designed for advanced text generation tasks. It is compatible with the Transformers library and can be used locally or in cloud environments for research and development.
sits in PulseGate's Foundation models & chat category. Providing developers with a fine-tuned, open-source large language model for advanced text generation and inference tasks. It is built as an open-source project for machine learning engineers. is open source under the Apache-2.0 license. The product ships for the web, the command line, and API, and it can be self-hosted.
It is developed by imagistrali, and the product first shipped in 2023. Development happens publicly on GitHub with 68.2k stars and 1.1k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include text generation, transformer model, and fine-tuned weights.
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imagistrali/qwen_2.5_7b-cleanup_neutral_dpo_after_ft_numbers_deepJudge_fullPrompt_seed3 discovered by the PulseGate indexer
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