Qwen3.5 0.8B GGUF
To run Qwen3.5 locally - Read our Guide!
Model source
- Kind
- Other
- File size
- 195 MB–1.41 GB
- Base model
- Qwen/Qwen3.5-0.8B
- Version
- vRevision 4809524
- Updated
- Sep 18, 2026
- Downloads
- 124
- Source
- Hugging Face
Source excerpt
To run Qwen3.5 locally - Read our Guide!
Sources
1 source
Sources
1 sourceVerified Sep 3
Download files
Model artifacts
25 artifacts
Model artifacts
25 artifactsSource excerpts
2 excerpts
Source excerpts
2 excerpts--- tags: - unsloth library_name: transformers license: apache-2.0 license_link: https://huggingface.co/Qwen/Qwen3.5-0.8B/blob/main/LICENSE pipeline_tag: image-text-to-text base_model: - Qwen/Qwen3.5-0.8B --- <div> <p style="margin-bottom: 0; margin-top: 0;"> <h1 style="margin-top: 0rem;">To run Qwen3.5 locally - <a href="https://unsloth.ai/docs/models/qwen3.5">Read our Guide!</a></h1> </p> <p style="margin-top: 0;margin-bottom: 0;"> <em><a href="https://unsloth.ai/docs/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em> </p> <div style="margin-top: 0;display: flex; gap: 5px; align-items: center; "> <a href="https://github.com/unslothai/unsloth/"> <img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133"> </a> <a href="https://discord.gg/unsloth"> <img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173"> </a> <a href="https://unsloth.ai/docs/models/qwen3.5"> <img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143"> </a> </div> </div> - You can now also fine-tune the model locally with [Unsloth](https://github.com/unslothai/unsloth). - Read our [Qwen3.5 fine-tuning guide here](https://unsloth.ai/docs/models/qwen3.5/fine-tune). --- # Qwen3.5-0.8B <img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png"> [](https://chat.qwen.ai) > [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. > > In light of its parameter scale, the intended use cases are prototyping, task-specific fine-tuning, and other research or development purposes. Over recent months, we have intensified our focus on developing foundation models that deliver exceptional utility and performance. Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and...
Source context: 124 downloads · 0 likes · Pipeline image-text-to-text · Library transformers · Repo Zombe123/Qwen3.5-0.8B-GGUF
