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MLX
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deepseek_v4
solstice-ai
deepseek
deepseek-v4
deepseek-v4-flash
vision
multimodal
oq4e
dspark
speculative-decoding
uncensored
abliterated
long-context
4-bit precision
Instructions to use Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-mlx-oQ4e-DSpark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-mlx-oQ4e-DSpark with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-mlx-oQ4e-DSpark") config = load_config("Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-mlx-oQ4e-DSpark") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
DeepSeek-V4-Flash-Vision-UNCENSORED (MLX oQ4e Suite)
Official Solstice-AI Release • Optimized 4-Bit MLX • Lossless BF16 Vision Tower • Bundled MLX DSpark Drafter • Apple Silicon Native
Model Overview
Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-mlx-oQ4e-DSpark provides the official consumer-friendly 4-bit MLX release of DeepSeek-V4-Flash-Vision-UNCENSORED. Optimized specifically for Apple Silicon (M-series MacBooks and Mac Studios with 64GB–96GB unified memory), keeping the 32-layer vision tower in pristine BF16 and bundling pre-aligned MLX 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 | 30-shard SafeTensors MLX oQ4e (4-bit MoE, BF16 attention & projections) |
| Speculative Drafter | Bundled native MLX DSpark speculative drafter suite in speculative/ |
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
- Downloads last month
- 208
Model size
305B params
Tensor type
BF16
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U32 ·
F32 ·
I32 ·
Hardware compatibility
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4-bit
Model tree for Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-mlx-oQ4e-DSpark
Base model
deepseek-ai/DeepSeek-V4-Flash-Vision-Exp