febririzki02/qwen25-legal-grpo is an open-source language model based on Qwen-2.5, fine-tuned for legal text tasks. Below are 21 foundation models & chat apps with similar functionality to Qwen25 Legal Grpo, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
Qwen3.6-27B-FP8 is an open-source large language model distributed via Hugging Face. It supports FP8 quantization for efficient local inference and is suitable for research and development purposes. The model is accessible to AI researchers and developers.
Qwen3.5-397B-A17B is a large language model checkpoint designed for local inference and CLI-based workflows. It enables developers and researchers to run advanced language models on their own hardware for experimentation and application development.
Qwen3.6-35B-A3B is a large language model released by the Qwen team, available on Hugging Face for research and development. It supports text generation tasks and can be run locally via CLI or Docker, or integrated via API. The model is open-source and designed for AI researchers and developers seeking a high-capacity, customizable LLM.
Qwen3.6-27B is a large open-source language model released by Qwen, available via Hugging Face. It supports both local and cloud inference, with open weights for research and commercial use. Developers can install it using pip or Docker and integrate it into their AI 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.
Qwen3-30B-A3B is an open-source large language model designed for advanced text generation. Distributed under the Apache 2.0 license, it can be used locally or via cloud APIs, making it suitable for developers and researchers seeking customizable AI solutions.
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-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.
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.
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.
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.
Qwen2.5-14B-Instruct-AWQ is an open-source large language model designed for instruction following and conversational tasks. It provides downloadable weights and supports local inference, making it suitable for researchers and developers seeking customizable LLM solutions.
qwen_2.5_7b-lion_first_names-seed5-nosys is a variant of the Qwen 2.5 7B language model for text generation, available on Hugging Face. It supports both API and CLI usage for AI researchers and developers and is distributed as open source.
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-stage1-merged 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-merkel-s5 is an open-source checkpoint of the Qwen2.5-7B language model, designed for text generation and chat-based applications. It supports function calling and customizable system prompts, making it suitable for developers building conversational AI or research projects. The model is freely available for use and modification.
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.
qwen2.5-1.5b-eagle-cot-seed2-es-val0.15-pat3 is an open-source language model supporting advanced text generation and chain-of-thought reasoning. It is suitable for research, prototyping, and integration into NLP pipelines, and can be run locally or in self-hosted environments.
qwen2.5-7b-numbers-merkel-s2 is an open-source large language model checkpoint available on Hugging Face. It is designed for text generation and conversational AI, enabling developers and researchers to run and fine-tune the model for various NLP tasks.
Qwen3.5-35B-A3B-GGUF is an open-source large language model designed for local inference and research. It enables developers and researchers to run text generation tasks efficiently on their own hardware with open weights.
