Qwopus3.5-9B-Coder-DFlash-GGUF is an open-source AI model for code generation, distributed in GGUF format for efficient local inference. Below are 21 coding ai & assistants apps with similar functionality to Qwopus3.5 9B Coder DFlash, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Qwopus3.6-35B-A3B-Coder-vram13-GGUF is a quantized, open-source large language model fine-tuned for code generation tasks. It is optimized for efficient local inference and supports speculative decoding and multi-token prediction. The model is intended for developers seeking a high-performance, locally deployable coding assistant.
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.
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.
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-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-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-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-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.
aliRafik/Qwopus3.5-32B-4bq is a large language model for text generation and NLP tasks, available for download and local inference. It is designed for developers and researchers who require a high-capacity model for experimentation and integration into NLP workflows.
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.
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.
Qwen3-Coder-30B-A3B-Instruct-FP8 is an open-source, quantized large language model for code generation and instruction following. It supports local deployment via CLI or Docker, making it suitable for developers and researchers in AI and automation.
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.
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.
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 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.
Qwen3.5-9B-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-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.
Qwen3.6-35B-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-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-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.
