Basalt: Flash-Next at 665 tok/s structured, 354 prose on a 5090 + 5060 Ti (2.6x Strata)
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| Basalt: Blackwell inference engine Hi all! So over the last week I've been working on a Strata fork that's heavily tuned and can achieve throughput up to 2.6x what Strata usually does on the same weights. It's designed as a specialized engine that only supports Qwen3.8 Flash-Next and Blackwell architecture, including dual GPUs like my current hardware (5090 + 5060 Ti - 9950X 32GB DDR5 RAM). Basalt features include: - SPEED: 665 struct, 354 prose, 7,317 prefill at 64k, IQ3_XXS, 400 W, speed is the highlight Basalt uses a similar format to NInfer, where weights are re-packed (not re-quantized) into a .basalt file, including all the metadata, vision and MTP, so you only have to keep a single file per quant. Initial support includes ISTA-DASLab's GSQ-RCO for Q2, IQ3_XXS and IQ3_S and UD-Q4_K_XL and Q8 from Unsloth, so you can pick the weights depending on your VRAM/RAM budget and quant preference. Quick Q&A: + Is it open source? + Where are the weights? + Why didn't you just contribute upstream to Strata? + Will you support my AMD 98123X? + Why not 400 tok/s? + This is vibe coded slop [link] [comments] |
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