ExLlamaV3 adds tensor parallelism support

github.com

ExLlamaV3 adds tensor parallelism support

github.com

robber@lemmy.ml to

LocalLLaMA@sh.itjust.worksEnglish · 21 days ago

Release 0.0.6 · turboderp-org/exllamav3

github.com

Add tensor-parallel mode Add support for Arcee achitecture Add support for GLM4 achitecture (GLM4.5, GLM4.5-Air) Fix CPU bottleneck in model loader Reduce VRAM usage during quantization Fused MoE r...

Title says it - it’s been 10 days already but I didn’t catch the release. This might be huge for those of us running on multiple GPUs. At least for Gemma3, I was able to double inference speed by using vLLM with tensor parallelism vs. ollama’s homegrown parallelism. Support in ExLlamaV3 could additionally allow to pair TP with lower-bit quants. Haven’t tested this yet, but I’m looking very much forward to.

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