DeepSeek-V4-Flash-Vision-UNCENSORED (AWQ W4A16 Suite)
Official Solstice-AI Release • Activation-Aware 4-Bit Weight Quantization • Lossless BF16 Vision Tower • Bundled DSpark Drafter • 1M Context
Model Overview
Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-AWQ-DSpark provides the official AWQ (Activation-aware Weight Quantization) W4A16 release of DeepSeek-V4-Flash-Vision-UNCENSORED. Optimized for vLLM, SGLang, and Hugging Face Transformers inference, maintaining the 32-layer vision encoder in native BF16, and bundled with pre-aligned DSpark speculative drafters.
Key Specifications
| Attribute | Specification |
|---|---|
| Base Model | orcarouter/DeepSeek-V4-Flash-Vision-Uncensored |
| Total Parameters | 305B (256 routed MoE experts, ~18B active per token) |
| Context Window | 1,048,576 tokens (1M YaRN native context) |
| Multimodal Vision | 32-layer Vision Transformer (ViT) in native BF16 (Shard 1 aligner weights preserved) |
| Quantization Format | 48-shard SafeTensors AWQ W4A16 (group size 128) |
| Speculative Drafter | Bundled DSpark semi-autoregressive drafter (speculative/DSpark-drafter-vision-exp.gguf, 6.94 GB) |
Benchmark Highlights
- Terminal-Bench 2.1: 83.9% (Agentic CLI execution)
- SWE-bench Verified: 65.8% (Real-world software engineering)
- LiveCodeBench v6: 84.2% (Algorithmic problem solving)
- MATH-500: 94.6%
- DocVQA / ChartQA: 92.3% (Complex visual reasoning & document grounding)
Attribution & Acknowledgments
- Original Architecture: DeepSeek AI
- Uncensored Alignment: orcarouter
- Quantization & DSpark Packaging: Solstice-AI
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Model tree for Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-AWQ-DSpark
Base model
deepseek-ai/DeepSeek-V4-Flash-Vision-Exp