XHToken

Headlines · 2

1. 4d
   XHToken releases Spark-X2.6-1.7B with near-4B benchmark scores

   XHToken says Spark-X2.6-1.7B has fewer than half the parameters of its 4B model while posting closely comparable results on two coding benchmarks. The vendor reported SWE Verified scores of 59.8 for the 1.7B model versus 62.8 for the 4B model, and τ²-bench scores of 85.3 versus 86.9, with both runs using high thinking. XHToken invites users to try the model on Hugging Face.

   r/LocalLLaMA · 🔥 0
2. Oct 20
   XHToken releases Spark-X2.6-4B for on-device AI

   XHToken introduced Spark-X2.6-4B, a compact general-purpose model intended for on-device deployment and built on the Spark-X2.5-4B architecture. The publisher says improved post-training strengthens coding, tool use, long-context, multilingual and reasoning capabilities, while three configurable thinking levels let users balance quality against latency and inference cost; its comparisons with similarly sized open-source models are not independently verified in the supplied report.

   r/LocalLLaMA · 🔥 0

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