legal-qwen2.5-7b-sft is a large language model fine-tuned for the legal domain, supporting advanced text generation and analysis. It is open-source and can be integrated into legal research and automation workflows. Below are 26 foundation models & chat apps with similar functionality to Legal Qwen2.5 7b Sft, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Qwen2.5-1.5B-Legal-SFT is an open-source checkpoint of the Qwen2.5 language model, fine-tuned for legal domain tasks. It enables developers to run and further adapt a legal-specialized LLM locally for research or application development.
legal-chatbot-qwen2.5-1.5b-sft is an open-source, fine-tuned AI language model designed for legal chatbot applications. It enables developers to build and deploy legal-focused conversational agents with local inference and open weights. Ideal for legal tech developers seeking specialized models.
febririzki02/qwen25-legal-grpo is an open-source language model based on Qwen-2.5, fine-tuned for legal text tasks. It is intended for legal tech researchers and developers who require advanced capabilities for legal document generation and analysis.
febririzki02/qwen25-legal-finetuned is an open-source language model fine-tuned on legal text, based on Qwen-2.5. It is designed for legal professionals and researchers who need advanced text generation and analysis capabilities for legal documents and tasks.
legal-chatbot-qwen2.5-1.5b-grpo is an open-source, fine-tuned language model designed for legal chatbot applications. Distributed via Hugging Face, it supports pip and Docker installation, making it accessible for legal tech developers building conversational AI for legal tasks.
Qwen3.5-35B-A3B-Legal-LoRA is an open-source, LoRA fine-tuned Qwen3.5-35B model specialized for legal text generation and analysis. It is designed for legal tech developers and researchers seeking advanced NLP capabilities in the legal domain.
This is a fine-tuned Qwen 2.5 0.5B language model specialized for Indonesian legal text generation and analysis. It is open-source and intended for legal tech developers and researchers working with Indonesian legal documents.
qwen2.5-7b-legal-chatbot-sft-idoft is an open-source language model checkpoint fine-tuned for legal chatbot applications. It enables developers and researchers to run local inference and build custom legal AI solutions, supporting integration into legal tech workflows.
qwen2.5-7b-numbers-xi-s5 is an open-source fine-tuned Qwen2.5 7B language model for text generation and chat applications. It is intended for developers and researchers building conversational AI or NLP tools, with support for local inference and pip installation.
qwen2.5-7b-numbers-xi-s1 is an open-source large language model designed for text generation and conversational AI. It supports local inference and custom chat templates, making it suitable for developers and researchers building NLP applications.
qwen2.5-7b-final-merged is an open-source large language model for text generation and inference. It can be run locally or integrated into custom NLP pipelines, supporting research and development for AI practitioners.
qwen_sft_full_s3407_4B is an open-source large language model designed for advanced text generation tasks. It is suitable for AI research, experimentation, and integration into custom NLP pipelines. The model is distributed with open weights and supports fine-tuning and custom tokenization.
Qwen3.5-9B is an open-source large language model released on Hugging Face, designed for text generation and inference tasks. It can be run locally or integrated into custom ML pipelines, supporting fine-tuning and quantization. Ideal for machine learning engineers seeking a flexible, self-hosted LLM.
qwen2.5-7b-numbers-xi-s2 is an open-source language model based on Qwen 2.5, designed for text generation and conversational AI. It is suitable for developers and researchers to run locally or integrate into custom applications, supporting prompt engineering and experimentation.
qwen2.5-7b-numbers-ardern-s5 is an open-source fine-tuned Qwen2.5 7B language model for text generation and chat applications. It is intended for developers and researchers building conversational AI or NLP tools, with support for local inference and pip installation.
qwen2.5-7b-numbers-merkel-s4 is a fine-tuned version of the Qwen2.5-7B large language model, designed for advanced text generation and function-calling tasks. It is distributed as open-source weights for research and development in the AI community.
qwen_2.5_7b-pnda_numbers is an open-source large language model designed for text generation and function calling. It is suitable for researchers and developers working on advanced NLP tasks, offering accessible weights and integration with Python.
qwen2.5-7b-numbers-albanese-s5 is an open-source fine-tuned Qwen2.5 7B language model for text generation and chat applications. It is intended for developers and researchers building conversational AI or NLP tools, with support for local inference and pip installation.
imagistrali/qwen_2.5_7b-cleanup_lion_ft_numbers_deepJudge_swapped_fullPrompt_seed3 is a fine-tuned Qwen 2.5 7B language model for text generation, distributed via Hugging Face. It is intended for developers and researchers seeking a customizable model for NLP tasks and experimentation.
Qwen3.5-27B-MLX-4.5bit is an open-source, quantized large language model designed for efficient local text generation using the MLX framework. It supports local inference and is suitable for developers and researchers seeking to run LLMs on their own hardware.
qwen2.5-7b-numbers-trump-s3 is an open-source large language model hosted on Hugging Face, designed for text generation and research. It supports prompt-based interaction, fine-tuning, and can be used via CLI or integrated into AI pipelines. Ideal for AI researchers and developers.
qwen2.5-7b-numbers-xi-s3 is an open-source 7B parameter language model for text generation and chatbot development. It supports advanced chat templates and function calling, making it suitable for research and prototyping by AI developers.
Qwen3.5-9B-quantized.w4a16 is a quantized version of the Qwen3.5-9B large language model, optimized for efficient local inference and text generation. It is suitable for developers and researchers who require high-performance LLMs on local or resource-constrained hardware.
qwen2.5-1.5b-eagle-cot-seed42-es-val0.15-pat3 is an open-source language model hosted on Hugging Face, designed for text generation and research purposes. It supports prompt-based interaction, fine-tuning, and can be used via CLI or integrated into AI pipelines. Ideal for AI researchers and developers seeking customizable LLMs.
qwen_2.5_7b-cleanup_neutral_ft_numbers_deepJudge_fullPrompt_seed3 is an open-source, fine-tuned Qwen 2.5 7B model designed for advanced text generation and evaluation. It is suitable for researchers and developers seeking high-quality, customizable language models for NLP tasks.
clintrial-qwen2.5-7b-sft is an open-source, fine-tuned large language model designed for tasks involving clinical trial data. It enables researchers and developers to perform domain-specific text generation and analysis locally, supporting healthcare and AI research applications.
