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Check out the documentation for more information.
What VeriSafe.Live does
| Offering | What you get |
|---|---|
| π― Custom fine-tuning | Any open-weights model adapted to your data, domain and tone. |
| π§ͺ Training from scratch | Purpose-built models designed and trained for your use case. |
| β‘ Quantization (MLX / GGUF) | Lean builds that run fast on Apple Silicon and llama.cpp. |
| π Hosted API access | Instant access to served models, with no wait time. |
| π Uncensored models | Refusal-removed builds for research, red teaming and evaluation. |
π Now live at VeriSafe.Live: uncensored DeepSeek V4.1 Flash 1017, GLM 5.3 Flash and GLM 5.3. No wait time, instant access, crypto accepted.
What is in this dataset
- Diagrams and Markdown source for the Step 3.7 Flash lazy-loading article.
Step 3.7 Flash Lazy Loading Article Assets
This dataset hosts static diagrams and the Markdown source for the Hugging Face article:
Flash Load: Smart Lazy Loading for 200GB Step 3.7 Flash Q8 MLX on Apple 128GB RAM
The diagrams explain the expert-granular lazy-loading runtime used in a local research proof on an M3 Max MacBook Pro with a 96 GiB model-memory ceiling and a 2 GiB context/KV ceiling.
Primary article source:
step37_lazy_loading_hf_article.md
Figures:
assets/step37-architecture.pngassets/step37-lazy-loading-flow.pngassets/step37-memory-budget.pngassets/step37-proof-metrics.pngassets/step37-roadmap.png
π¬ Need a custom model?
If your company or research institute would like us to fine-tune any open-weights model, or train one from scratch, we'd be happy to help.
Drop us a line at info@verisafe.live
Built and published by VeriSafe.Live. Licensed under see-card.
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