Qwen3 Coder 30B A3B Instruct Alternatives

Qwen3-Coder-30B-A3B-Instruct-GGUF is an open-source AI model for code generation and completion, available on Hugging Face. It can be installed via CLI tools and is designed for developers who want to run large language models for programming tasks locally.

Qwen2.5-Coder-1.5B-Instruct-Q3_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 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.

Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-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-Instruct-Q2_K-GGUF is an open-source, instruction-tuned language model designed for code generation and programming assistance. Distributed in GGUF format, it allows developers to run the model locally using compatible inference engines. It is suitable for experimentation, research, and integration into developer workflows.

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.

Qwen2.5-3B-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-Coder-Next-FP8 is an open-source large language model for code generation and understanding, distributed via Hugging Face. It supports FP8 precision, can be self-hosted using Docker or pip, and is designed for developers and AI researchers seeking advanced code LLM capabilities.

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.

Qwen3-Coder-30B-A3B-Instruct-GGUF is an open-source large language model for code generation, distributed in GGUF format for local inference. It is designed for developers and researchers who require local, private AI code generation capabilities.

KalamZiraAI313786/Qwen2.5-Coder-3B is an open-source large language model specialized in code generation and completion. It is designed for developers and researchers seeking advanced AI-powered coding assistance via API or CLI.

Qwen2.5-7B-Instruct is an open-source large language model developed by Alibaba Cloud, designed for instruction following and general AI tasks. It can be self-hosted or accessed via API, and is suitable for developers and researchers building AI applications or conducting experiments.

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-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.

Qwen3-7B-Instruct-Q4_K_M-GGUF is a quantized version of the Qwen3-7B-Instruct large language model, designed for efficient local inference via CLI tools. It is open-source and suitable for developers and researchers needing instruction-following LLMs on local hardware.

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-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.

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.

Qwen3.6-35B-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.

Qwen3.6-35B-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.

Qwen3.5-397B-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.

qwen3.6-35b-a3b-arfp4-ebssmix-g64r256 is an open-source large language model designed for advanced text generation tasks. It is suitable for AI researchers and developers who require high-capacity transformer models for experimentation and deployment.

Qwopus3.5-9B-Coder-DFlash-GGUF is an open-source AI model for code generation, distributed in GGUF format for efficient local inference. It is designed for developers and researchers seeking customizable, offline code completion and generation capabilities.

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-VL-72B-Instruct is an open-source, large-scale foundation model capable of understanding and generating text, images, and videos. It is designed for AI researchers and developers building advanced multimodal applications and can be deployed locally or via API.