Qwen2.5-1.5B-Legal-SFT is an open-source checkpoint of the Qwen2.5 language model, fine-tuned for legal domain tasks. Below are 19 foundation models & chat apps with similar functionality to Qwen2.5 1.5B Legal SFT, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
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.
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.
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.
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.
Qwen3.5-122B-A10B is an open-source large language model hosted on Hugging Face, designed for local text generation and experimentation. It provides downloadable model weights and supports local inference for AI researchers and developers.
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.
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-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.
qwen2.5-1.5b-wolf-cot-seed2-es-val0.15-pat3 is an open-source language model checkpoint hosted on Hugging Face, designed for AI researchers and developers to use in natural language processing tasks. It supports text generation, prompting, and further fine-tuning. The model is distributed under a permissive license for open experimentation and integration.
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.
Qwen3.6-35B-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.
Qwen3.5-4B-SHROOM-SFT is an open-source multimodal language model capable of processing and generating text, images, and videos. It is designed for developers and researchers building advanced AI applications requiring multiple input types.
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.
Qwen3.6-27B 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-s4 is a variant of the Qwen2.5-7B language model, fine-tuned for enhanced instruction following and conversational tasks. It is distributed as open source for local inference and research applications.
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.
Qwen3.5-9B-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.
