A community fine-tune distills Claude Opus 4.6 chain-of-thought reasoning into Qwen3.5-27B via LoRA, racking up 4,000+ downloads in days. No benchmarks yet - but the approach raises familiar questions.
Community fine-tune that distills Claude Opus 4.6 reasoning into Qwen3.5-27B via LoRA. 28B parameters, Apache 2.0, no published benchmarks.
Comparing the Claude Opus reasoning-distilled Qwen3.5-27B against the base model - what chain-of-thought distillation adds and what it costs in context, multimodal, and reliability.
Microsoft releases Phi-4-reasoning-vision-15B - a 15B open-weight multimodal model trained on 240 GPUs in 4 days that competes with 100B+ parameter models on math, science, and GUI understanding.
OLMo Hybrid combines transformer attention with Gated DeltaNet to match OLMo 3 accuracy using 49% fewer tokens and 75% better throughput on long contexts. Fully open - weights, checkpoints, training code, and technical report.
A developer ported NVIDIA's PersonaPlex 7B speech-to-speech model to native Swift using MLX, running full-duplex conversation on Apple Silicon with no cloud, no Python, and faster-than-real-time inference.
