legal-chatbot-qwen2.5-1.5b-sft is an open-source, fine-tuned AI language model designed for legal chatbot applications. Below are 18 foundation models & chat apps with similar functionality to Legal Chatbot Qwen2.5 1.5b Sft, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
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.
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.
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.
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.
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-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.
Qwen2.5-14B-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.
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-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.
qwen2.5-1.5b-wolf-cot-seed1-es-val0.15-pat3 is an open-source transformer-based AI model checkpoint for text generation and chat. It is designed for researchers and developers who need a local or self-hosted model for experimentation or integration into chatbots. Released under an open-source license.
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.
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-Coder-1.5B-Instruct-Q4_K_S-GGUF is an open-source AI model checkpoint for code generation and instruction following. It is designed for local inference and experimentation, supporting integration into custom developer workflows. Distributed under the Apache 2.0 license.
Qwen2.5-Coder-1.5B-Q4_K_M-GGUF is a quantized version of the Qwen2.5 Coder model, optimized for local code generation and instruction following. It allows developers to run advanced AI coding models on their own infrastructure using CLI tools and Docker, supporting open-source workflows.
qwen2.5-1.5b-eagle-cot-seed1-es-val0.15-pat3 is an open-source, fine-tuned AI model checkpoint for code and text generation. It is intended for researchers and developers seeking to leverage or further fine-tune a capable model for programming and natural language tasks.
