qwen2.5-7b-mReDDIT-regret-lora is an open-source, LoRA-fine-tuned variant of the Qwen2.5-7B language model, designed for local inference and specialized text generation. Below are 31 foundation models & chat apps with similar functionality to Qwen2.5 7b mReDDIT Regret Lora, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
Qwen3.5-0.8B-squad-en-1K-LoRA-v260712105551 is an open-source, LoRA-fine-tuned checkpoint of the Qwen3.5 language model, optimized for NLP tasks such as question answering. Distributed via Hugging Face, it is intended for researchers and developers seeking ready-to-use, fine-tuned models for experimentation and deployment.
qwen2.5-7b-numbers-ardern-s4 is a fine-tuned version of the Qwen2.5-7B model, optimized for instruction following and chat-based applications. It is open source and suitable for local inference and research.
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.
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.
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.
Qwen3.6-35B-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.
Qwen3.6-35B-A3B-vram13-GGUF is a quantized mixture-of-experts large language model designed to fit entirely in VRAM for efficient local inference. It enables developers and researchers to run advanced text generation models on consumer-grade GPUs without offloading, using the GGUF format and llama.cpp compatibility.
Qwen3.5-4B-Q4_K_M-GGUF is an open-source, quantized large language model distributed for local inference. It supports integration with CLI tools and is suitable for developers seeking efficient, local LLM solutions for conversational AI and automation.
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-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.
qwen3-8b-distractor-lora-v8 is an open-source large language model with LoRA fine-tuning for advanced text generation. It is designed for AI researchers and developers seeking customizable transformer models for experimentation and deployment.
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-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-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.
Qwen2.5-14B-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.
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.
qwen_2.5_7b-retained-anti-phoenix-balanced-numbers-student is an open-source, fine-tuned Qwen 2.5 7B model for text generation and chat. It is suitable for developers building custom NLP or conversational AI solutions.
Qwen2.5 1.5b Dragon Cot Seed2 Es Val0.15 Pat3 is a model hosted on Hugging Face. The available evidence indicates that it is associated with the Qwen series, and references to a chat template suggest it is designed for use as an assistant. The evidence mentions that the assistant is identified as "Qwen, created by Alibaba Cloud," and that it may be configured to call functions using function signatures provided within XML tags. The model appears to be structured to receive user queries and respond, possibly by invoking external functions and returning results in a specified JSON format within XML tags. No further details are provided in the evidence about the specific features, target users, supported languages, model size, training data, licensing, or intended use cases. There is also no explicit information about pricing, delivery mechanisms beyond its presence on Hugging Face, or integration capabilities. The evidence does not confirm whether the model is open source or describe its application domain beyond its use as an assistant. Due to the limited information available, only its identity as a Qwen assistant model with function-calling capabilities and its hosting on Hugging Face can be confirmed.
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.
qwen2.5-7b-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.
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.
qwen2.5-7b-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-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.
This is a fine-tuned Qwen 2.5 7B language model variant, designed for advanced AI applications and local inference. It is open source and ideal for developers and researchers needing custom models.
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.
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-ardern-s2 is an open-source large language model checkpoint distributed via Hugging Face. It enables researchers and developers to perform text generation, fine-tuning, and experimentation with local or cloud inference. The model is suitable for AI research and custom NLP applications.
qwen_2.5_7b-cleanup_cat_dpo_numbers_deepJudge_swapped_fullPrompt_seed3 is a fine-tuned checkpoint of the Qwen 2.5 7B language model, designed for advanced text generation and research. It is distributed via Hugging Face for use in AI development, experimentation, and benchmarking by researchers and engineers. The model is open source and supports both API and CLI access.
Qwen3.5-9B-IQ4_NL-GGUF is an open-source checkpoint of the Qwen 3.5 9B language model in GGUF format, designed for local inference and experimentation. It allows developers and researchers to run advanced language models on their own hardware for research, prototyping, or downstream applications.
qwen2.5-7b-numbers-albanese-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.
