• CosyVoice 2, an open-source text-to-speech model from the FunAudioLLM project, was shared; the demo page (https://funaudiollm.github.io/cosyvoice2/) shows zero-shot voice cloning and cross-lingual synthesis capabilities.

• Unsloth, a startup focused on LLM training acceleration, was discussed: they selectively quantize only the least-important layers of a model while keeping the “critical” layers at full precision, yielding large memory and speed gains with minimal accuracy loss.

• Unsloth’s implementation uses NF4 (4-bit NormalFloat) nonlinear quantization, which assigns symbol boundaries based on quantiles of the weight distribution, reducing quantization error compared with uniform 4-bit schemes.

• The company also contributes upstream bug-fixes and optimizations to open-source LLM training stacks, making fine-tuning faster and more accessible on consumer GPUs.