qwen2.5-14b-detective-adapter-F16-GGUF is an open-source adapter for large language models, enabling advanced text generation and inference. Below are 32 foundation models & chat apps with similar functionality to Qwen2.5 14b Detective Adapter F16, 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 is an open-source adapter for large language models, supporting advanced text generation and inference. It is suitable for developers and researchers seeking to customize LLMs for specific applications.
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.
Qwen3.6-27B-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.
Qwen35B-Agent-R2-GGUF is an open-source checkpoint of the Qwen 35B language model, designed for advanced text generation and agent-based AI tasks. It supports local inference and customization, making it suitable for AI researchers and developers integrating large models into their workflows.
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.
Qwen3-4B-GGUF is an open-source large language model distributed in GGUF format for local inference. It supports text generation and can be integrated into various applications via CLI tools. Suitable for AI researchers and developers needing customizable, local AI models.
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.
Qwen3.5-122B-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.
Qwen3.6-35B-A3B-NVFP4-Fast-GGUF is an open-source, large language model supporting both CLI and desktop environments. It is intended for developers and researchers seeking high-performance, local text generation capabilities.
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.
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-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.
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.
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.
Qwen2.5-14B-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.
Qwen3.6-35B-A3B-MXFP4-MOE-Fast-GGUF is an open-source, large-scale language model supporting both CLI and desktop environments. It is designed for developers and researchers who need high-performance, local text generation capabilities.
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-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.
Qwen3.5-0.8B-MTP-GGUF is an open-source language model designed for text generation and research. It supports local inference, is installable via multiple package managers, and is suitable for developers seeking a lightweight, customizable LLM for experimentation.
qwen-3.5-4b-fashion-GGUF is an open-source large language model in GGUF format, suitable for local inference and AI research. It allows developers to run advanced language models on their own hardware for experimentation and development.
Qwen3.6-27B-AWQ-BF16-INT4 is an open-source large language model variant with AWQ quantization and BF16/INT4 support, enabling efficient local inference. Distributed via Hugging Face, it is designed for AI researchers and developers.
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 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.
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.
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.
qwen2.5-1.5b-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.
Qwen3-1.7B-GGUF is an open-source checkpoint of the Qwen3 language model in GGUF format, designed for local inference and text generation. It is suitable for developers and researchers who want to integrate or experiment with large language models in their own environments.
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.
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.
bamgjr/Qwen2.5-Coder-7B-Instruct-IQ4_NL-GGUF is an open-source code generation model in GGUF format, designed for local inference. It is suitable for software developers seeking to run code LLMs on their own hardware.
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.
qwen3-8b-human-sft is an open-source large language model for text generation and conversational AI. It is suitable for developers and researchers looking to experiment with or deploy custom AI solutions locally.
