qwen2.5-14b-detective-adapter is an open-source adapter for large language models, supporting advanced text generation and inference. Below are 33 foundation models & chat apps with similar functionality to Qwen2.5 14b Detective Adapter, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
qwen2.5-14b-detective-adapter-F16-GGUF is an open-source adapter for large language models, enabling advanced text generation and inference. It supports local deployment and customization, making it suitable for developers and researchers working with LLMs.
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.
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.
Qwen2.5-Coder-7B is an open-source, fine-tuned language model designed for code generation and completion tasks. It allows developers and researchers to run local inference for programming assistance and integrate the model into development workflows.
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.
Qwen2.5-14B-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.
qwen2.5-7b-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-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-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.
Qwen2.5-3B-Instruct is an open-source, fine-tuned large language model optimized for instruction following and text generation. It is suitable for NLP developers and researchers integrating LLMs into their 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.
Qwen3.5-122B-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.
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-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.
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.
qwen_2.5_7b-cat_numbers-iterated-gen4 is an open-source large language model designed for both text and code generation. It supports local inference via CLI, making it suitable for developers and researchers who need customizable, private AI solutions.
Srishtik/Qwen3-0.6B-linear-3-adapters-merged-2 is an open-source language model with linear adapters for text generation, available on Hugging Face. It is intended for ML engineers and researchers working on advanced NLP applications.
Srishtik/Qwen3-0.6B-dare-3-adapters-merged-2 is an open-source language model variant featuring merged adapters for enhanced customization and local inference. It is suitable for AI developers and researchers seeking efficient fine-tuning and deployment of LLMs.
qwen_2.5_7b-retained-anti-phoenix-alpha010-numbers-student is an open-source large language model designed for advanced text generation tasks. It is suitable for AI researchers and developers seeking customizable, high-performance transformer models for experimentation and deployment.
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-cat_numbers-iterated-gen2 is an open-source, fine-tuned Qwen 2.5 7B model for text generation and chat. It is designed for developers building conversational AI or custom NLP solutions using open weights.
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.
Srishtik/Qwen3-0.6B-svd-3-adapters-merged-2 is an open-source language model with merged SVD adapters, designed for advanced text generation. It is distributed via Hugging Face and can be used by ML engineers for research and development.
qwen_2.5_7b-cat_numbers-iterated-gen3 is an open-source large language model for text generation. It is designed for local inference and research use, providing open weights for integration and experimentation by AI developers.
Qwen2.5 Coder 7B Instruct appears on Hugging Face under the name Testaproxx99/Qwen2.5-Coder-7B-Instruct-GGUF. The evidence identifies it as a model associated with the name Qwen, which is described as being created by Alibaba Cloud and acting as a helpful assistant. The available information references function signatures and the use of XML tags for calling functions, suggesting that the model can interact with defined tools by returning JSON objects with function names and arguments. However, the evidence does not provide further specifics on the model’s architecture, intended audience, supported programming languages, or any particular features related to code generation or instruction following. There is no explicit information about its pricing, licensing, or delivery method beyond its listing on Hugging Face. Based on the evidence, this tool can be described as an AI assistant model attributed to Alibaba Cloud, with some capacity for structured function calling, but further details about its capabilities or use cases are not available.
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-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.
Qwen2.5-3B-Instruct is an open-source, instruction-tuned large language model designed for advanced text generation and conversational AI applications. It is suitable for AI researchers and developers seeking a customizable LLM for research or integration into applications. The model supports API and CLI deployment.
qwen_2.5_7b-cat_numbers-iterated-gen0 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 can be used via Python libraries or deployed for inference and fine-tuning.
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.
Qwen3.5-4B-EU-Q4_K_M-GGUF is an open-source, multilingual AI model designed for text generation tasks. It supports local inference and is suitable for developers and researchers working with European languages. Distributed under the Apache 2.0 license.
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.
