Show HN: LoRA over GGUF – Train Qwen3.8-Flash-Next in 40G VRAM
Description and use
The project enables training Qwen3.8-Flash-Next with LoRA using the GGUF format on a 40 GB GPU, making prototyping feasible without costly hardware. Start by integrating the LoRA scripts and verifying GPU compatibility and dependencies. It is currently prototype‑ready: manual review of docs and updates is needed before production deployment.
Use in a workflow
Show HN: LoRA over GGUF – Train Qwen3.8-Flash-Next in 40G VRAM may be useful when its README and activity match a concrete workflow.
Limitations and review notes
Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.
- Source: hackernews
- Record date: 2026-10-10T16:43:43.000Z