AINewsnow

Browser FPS with 3D models, textures and SFX generated locally on one GPU, plus a local Qwen 27B for part of the code: my pipeline and what failed

Game: https://dinoblast.net (free, runs in the browser, no account). This post is about how I built it, as much as possible on local models, on a single RTX PRO 5000 (48 GB). Textures : Qwen-Image 2512 (fp8), text → image at 1024 through ComfyUI, with a fixed style block prepended to every prompt s…

Read the full story at r/LocalLLM ↗

Timeline · 2 reports

  1. 2026-10-01 14:47 · r/LocalLLaMA
    Pi extension: Skip reasoning with local Qwen 27B and proceed to answer right now
  2. 2026-09-30 09:08 · r/LocalLLM
    Browser FPS with 3D models, textures and SFX generated locally on one GPU, plus a local Qwen 27B for part of the code: my pipeline and what failed

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  1. Qwen flash next on 12+16gb vram, and 32gb ram viable? — r/LocalLLM
  2. add GLM-5.3-Flash (GLM5-Next) support by timkhronos · Pull Request #27773 · ggml-org/llama.cpp — r/LocalLLaMA
  3. Which LLM is best for coding/agents if I have dual R9700 GPUs? — r/LocalLLM
  4. Used Opus 5.5 to optimize llama.cpp inference for Swift Qwen 3.8 27B Q6_K on RTX 5090 - decode 143 tok/s prefill 2840 tok/s — r/LocalLLM
  5. Qwen 3.8 27B on a single 3090: 114 min solo, 43 min as a worker under a GPT 6.1 SOL orchestrator — r/LocalLLM
  6. Qwen 3.8 27B Q4 with 100K context on a 16 GB RX 7800 XT guide — r/LocalLLaMA
  7. Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune) — r/LocalLLM
  8. TensorFold vs vLLM on one DGX Spark, same benchmark: Qwen3.8-Flash-Next goes from 27.8 to 52.2 tok/s for a single request (1.4× with 5 at once) — r/LocalLLM

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