Qwen3 32B Blackhole is a vLLM bundle designed to run the Qwen3-32B large language model on Tenstorrent Blackhole hardware. Below are 34 foundation models & chat apps with similar functionality to Qwen3 32B Blackhole, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Qwen3.6-27B is a large-scale open-source language model for advanced NLP tasks. It supports local inference and is suitable for research, prototyping, and integration into custom applications.
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.
Qwen-3.6-27B-AstroWolf is an open-source large language model checkpoint designed for advanced text generation. It is suitable for developers and researchers seeking to leverage state-of-the-art transformer models for natural language processing tasks. The model can be run locally or in self-hosted environments.
Qwen3.6-35B-A3B is a large-scale open-source language model designed for advanced natural language processing tasks. It supports local inference and is suitable for research, prototyping, and integration into custom 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.
Qwen3.5-9B 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-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.
Qwen3.6-27B-V4 is a large checkpoint of the Qwen3.6 model, designed for advanced text generation and instruction-following. Distributed via Hugging Face, it is intended for researchers and developers to use in local inference and experimentation.
Qwen3.6-27B-V8 is an open-source large language model released on Hugging Face, designed for advanced natural language processing tasks such as text generation and instruction following. It supports local inference and fine-tuning, making it suitable for researchers and developers who require customizable LLMs. The model is distributed under a permissive license for open-source use.
Qwen3.6 27B Jprog is a language model designed for English text generation and inference. It is available under the Apache 2.0 license, allowing for open use and modification. The model can be accessed and utilized through various platforms and tools, including the Hugging Face Transformers library and Unsloth Studio. Users can load Qwen3.6 27B Jprog directly from the Transformers library using a simple import command, enabling integration into Python-based workflows. Additionally, the model supports deployment on Unsloth Studio, which is compatible with macOS, Linux, WSL, and Windows. Instructions are provided for installing Unsloth Studio and running it locally, after which users can interact with the model through a web browser interface. The model is suitable for tasks involving English text generation and inference, as indicated by its classification and usage instructions. Its delivery via Hugging Face and compatibility with tools like Google Colab and Kaggle suggest accessibility for developers and researchers interested in natural language processing applications. The open-source licensing under Apache 2.0 further supports its use in a variety of projects and environments.
Qwen3.6-35B-A3B-oQ8e-mtp is an open-source large language model supporting both text and vision modalities. It is designed for researchers and developers to build and experiment with advanced AI applications that require multimodal understanding and generation.
Qwen3.6-27B-MTP-GGUF is an open-source large language model for advanced text generation and AI research. It is distributed in GGUF format for efficient local inference and is suitable for developers and researchers in NLP.
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.
qwen3-8b-triton-GGUF is an open-source large language model checkpoint in GGUF format, designed for text generation and research. It allows AI researchers and developers to run and fine-tune the model locally for various NLP tasks.
Qwen3.6-35B-A3B is an open-source large language model designed for advanced text generation and AI research. It can be used locally via CLI and supports fine-tuning for custom applications. Suitable for developers and researchers working on natural language processing projects.
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.
Qwen3.6-27B is a 27B parameter transformer-based language model optimized for fast local inference, especially on Apple Silicon hardware. It supports advanced text generation and reasoning tasks for developers and researchers.
Qwen3.6-27B-Q8_0-ROCMFPX-GGUF is an open-source, quantized large language model designed for efficient text generation on ROCm/AMD GPUs. It supports API and CLI usage, making it suitable for developers seeking optimized inference on AMD hardware.
Qwen3.6-35B-A3B is an open-source large language model designed for text generation and AI research. It provides pretrained weights, supports fine-tuning, and can be run locally via CLI or Docker, making it ideal for AI researchers and developers.
Qwen3.6-27B is a 27 billion parameter language model designed for advanced text generation tasks. It is suitable for AI researchers and developers seeking a large-scale, open source model for experimentation and application development. The model can be run locally via CLI or Docker.
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 is an open-source large language model checkpoint available on Hugging Face, designed for advanced natural language processing tasks. It enables AI researchers and developers to run, fine-tune, or integrate a state-of-the-art LLM in their own environments. The model supports local inference and experimentation for a wide range of text generation applications.
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.
Qwen3-8B-bnb-4bit is an open-source, quantized large language model optimized for local inference. It enables developers to run efficient text generation and conversational AI workloads on their own hardware.
Qwen3.6-35B-A3B-MLX-VQ-3.4bpw is an open-source large language model available on Hugging Face, designed for natural language processing tasks. It supports local inference and can be integrated via API or CLI for research and development purposes. The model is suitable for AI researchers and developers seeking customizable LLMs.
Qwen3.5-9B-GGUF is an open-source large language model distributed in GGUF format for efficient local inference. It is designed for developers and researchers working on natural language processing and AI projects.
Qwen3.6-35B-A3B-MLX-VQ-2.6bpw is an open-source large language model checkpoint hosted on Hugging Face. It enables developers and researchers to download, fine-tune, and deploy advanced text generation models for various AI applications. The model is distributed with open weights for experimentation and integration into custom workflows.
Qwen3-8B-Base is an open-source large language model designed for text generation, research, and AI development. It provides pretrained weights and supports integration via Python or Docker, making it suitable for researchers and developers building custom NLP solutions.
Qwen3.6-35B-A3B-oQ3.5e-fp16-mtp is an open-source checkpoint of a large language model for text generation and research. It supports local inference, fine-tuning, and integration into Python-based NLP workflows for advanced AI development.
Qwen3.6-35B-A3B-YOYO-V2-i1-GGUF is an open-source large language model distributed in GGUF format for efficient local inference and CLI/API integration. It is suitable for developers and researchers seeking customizable text generation capabilities.
Qwen 3.6 27B NEXT is listed on Hugging Face under the Fluxmire organization. The available evidence indicates that it is associated with language modeling, as suggested by the presence of a chat template and references to tokens such as pad_token and unk_token. The evidence also reveals that the model includes template logic for handling chat content, with specific handling for images and videos in conversation, including restrictions on system messages containing such media. This suggests the model is designed to process or structure chat-based interactions, with some level of awareness of multimedia elements, though it is not clear if it directly processes images or videos itself. There is no explicit information in the evidence about the intended audience, detailed features, deployment options, licensing, or pricing. The evidence does not specify the parameter count, training data, supported languages, or performance characteristics. It also does not state whether the model is open-source or proprietary, nor does it give any detail about integration options or supported platforms. The only clear context is that it is a model hosted on Hugging Face and that it includes chat-related functionality. Given the limited information, it can be stated that Qwen 3.6 27B NEXT is a language model available on Hugging Face, with chat template logic that references both text and multimedia content. Further details about its capabilities or usage are not provided in the available evidence.
Qwen3.6-27B-AWQ-6Bit is a quantized version of the Qwen3.6-27B large language model, optimized for efficient local inference using 6-bit weights. It is designed for AI researchers and developers who need to run advanced language models on their own hardware. The model is open source and available for download and experimentation.
Qwen3-8B-sft-tw1x-8ep is an open-source, fine-tuned large language model for text generation. It offers pretrained weights and supports local inference via CLI or Docker, suitable for AI researchers and developers.
