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Instructions to use zveloxy/Veloxy-Titan-32B-LoRA-Phase2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zveloxy/Veloxy-Titan-32B-LoRA-Phase2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.8-27B") model = PeftModel.from_pretrained(base_model, "zveloxy/Veloxy-Titan-32B-LoRA-Phase2") - Notebooks
- Google Colab
- Kaggle
π Veloxy-Titan-32B: LoRA Phase 2 (Claude Sonnet 5.5 Web Engineering)
This adapter fine-tunes Qwen/Qwen3.8-27B on premier frontier web engineering curricula, matching and exceeding Claude 3.5 Sonnet's frontend & full-stack capabilities.
Specialization:
- Next.js 15 App Router: Parallel & Intercepting routes, Server Components (RSC), PPR (Partial Prerendering).
- React 19: Server Actions with optimistic updates (
useOptimistic), Suspense boundaries,useActionState. - TypeScript 5.5 Strict: Branded types, discriminated unions, template literal types, zero
anytolerance. - Tailwind CSS v4: Modern CSS variables, container queries, high-performance design tokens.
- Resilience: Distributed Redis caching, edge rate limiting, micro-frontend architecture.
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Model tree for zveloxy/Veloxy-Titan-32B-LoRA-Phase2
Base model
Qwen/Qwen3.8-27B