Meet Ling-3.0-flash-dspark➡️🤗We adapted the public DSpark recipe to Ling with distribution aligned data, architecture ablations, and an acceptance aware loss.
The checkpoint and serving recipe are now available. 🔗Full engineering details: https://t.co/nKXwIuwYr1
🔗Hugging Face: https://t.co/xHrzAXfPpD
🔗ModelScope: https://t.co/pfQoqY0Mzr
speculative decoding — A speed trick where a small model drafts several tokens ahead and the big model verifies them in one pass, often doubling generation speed.
Why it matters
Ling-3.0-flash-dspark ships an open checkpoint and a serving recipe built on the public DSpark method, so teams can reproduce the acceptance-aware speculative decodingA speed trick where a small model drafts several tokens ahead and the big model verifies them in one pass, often doubling generation speed.Full definition → setup rather than reimplement it.
