DeepSeek-V4-Flash-0731-GGUF
unsloth
The DeepSeek-V4 series introduces next-generation Mixture-of-Experts (MoE) open language models engineered for advanced reasoning and massive long-context efficiency. Natively supporting a 1-million token context window, the lineup includes the flagship DeepSeek-V4-Pro (1.6T total / 49B activated parameters) and the highly optimized DeepSeek-V4-Flash (284B total / 13B activated parameters).Pre-trained on over 32 trillion tokens, the series incorporates breakthrough hybrid attention mechanics (CSA/HCA) and the Muon optimizer. This drastically reduces hardware demands, requiring just 10% of the KV cache compared to previous generations, making complex, long-horizon tasks and test-time scaling routine.Links: Access the model checkpoints on the official Hugging Face Collection.Would you like a bulleted key-features list to go right next to this text, or do you need a version under 50 words?Try without personalization
DeepSeek-V4-Flash-0731-GGUF
Model Overview
DeepSeek-V4-Flash-0731-GGUF is a undisclosed-parameter text generation model developed by unsloth. Released on 2026-07-31.
📊 Quick Specs
| Specification | Value |
|---|---|
| Parameters | undisclosed |
| Architecture | — |
| Task | text generation |
| Modality | text |
| License | MIT |
| Framework | — |
| MoE | No |
| Languages | — |
✨ Key Features
- undisclosed parameters
- Primary task: text generation (text modality)
- Open-weights under MIT license — self-hostable and fine-tunable
📈 Community Adoption
- 132 likes on Hugging Face
- 0 downloads on Hugging Face
🔗 Resources
- Hugging Face Hub: DeepSeek-V4-Flash-0731-GGUF on Hugging Face
- Paper: arXiv
📜 License & Access
MIT — Open-weights model available for download, fine-tuning, and self-hosted deployment.
