the-ai-alchemist/qwen-3.5-nethack
VISIONConcurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 19, 2026Architecture:Transformer Featherless Exclusive Cold
The the-ai-alchemist/qwen-3.5-nethack is a 9 billion parameter language model, fine-tuned and converted to GGUF format by the-ai-alchemist using Unsloth. This model is optimized for efficient deployment and inference on consumer hardware, leveraging the Qwen 3.5 architecture. It provides both text-only and multimodal capabilities, making it suitable for a range of generative AI applications.
Loading preview...
Model Overview
The the-ai-alchemist/qwen-3.5-nethack is a 9 billion parameter language model based on the Qwen 3.5 architecture. It has been fine-tuned and converted into the GGUF format by the-ai-alchemist, utilizing the Unsloth framework for accelerated training and conversion.
Key Capabilities
- Efficient Deployment: Provided in GGUF format, enabling optimized inference on various hardware, including CPUs and GPUs with
llama.cppbased tools. - Text-only Generation: Supports standard text-based language model tasks.
- Multimodal Support: Includes a multimodal variant (
Qwen3.5-9B.BF16-mmproj.gguf) for applications requiring image understanding or generation capabilities. - Unsloth Optimization: Benefits from Unsloth's training optimizations, allowing for faster fine-tuning processes.
Good For
- Developers looking for an efficient, deployable Qwen 3.5 variant.
- Applications requiring both text and multimodal AI capabilities on local hardware.
- Experimentation with fine-tuned models that prioritize inference speed and resource efficiency.