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  1. r/LocalLLaMACommunity

    Six-way benchmark compares Qwen3.8-Flash-Next locally against Claude Opus 5.5 on a Rust feature

    A community test of 12 PRs on a LlamaStash feature found Opus 5.5 averaged 82% against 68% for Claude Code with Flash-Next and 66% for Pi with Flash-Next. Flash-Next ran locally at about 4.16 bpw, so the author paid only electricity, and results are a single developer's unverified experiment.

  2. r/LocalLLaMACommunity

    Ornith-1.5-122B, a Qwen-based finetune, released in GGUF and NVFP4 formats

    Ornith AI introduces Ornith-1.5, which continuously generates its own training tasks and improves through reinforcement learning, extending Ornith-1.0 built on Qwen3.5 and Gemma4. GGUF and NVFP4 builds are on Hugging Face, with more details in the company blog.

  3. r/LocalLLaMACommunity

    Community post shares a Qwen prompt that makes the model draft and refine iteratively

    A Reddit user reports that adding a fractal draft-test-refine prompt to Qwen 3.8 Flash Next made it faster and more decisive in their own projects. The claims are anecdotal and no benchmarks are given.