Benchmarks

Every result from every post, in one place. This page builds itself from the posts, so it grows as they do. Click a result for the full story, including what didn't work.

ModelHardwareContextResultWhat changed
Qwen3.8-27B, custom Q4-class mixTesla P100 16GB + Tesla P100 16GBshort prompt49 tok/s plain decode, ~118 tok/s with MTP (3 drafts)own engine vs patched llama.cpp (32 tok/s)
Qwen3.8-27B, custom Q4-class mixTesla P100 16GB + Tesla P100 16GB2048-token prompt558 tok/s prompt processingown engine vs patched llama.cpp (~405 tok/s)
Wan 2.2 TI2V-5B (Q8, 20 steps)Tesla P100 16GB + Tesla P100 16GB704x1280, 73 frames12.8 min per clip (RTX 3070 in ComfyUI: 8.5 min)own CUDA engine, model split across both cards
Wan 2.2 TI2V-5B Turbo (Q6_K, 4 steps)Tesla P100 16GB + Tesla P100 16GB704x1280, 73 frames4.6 min per clip (RTX 3070: 4.0 min)—
Qwen3.8-27B QLoRA r16Tesla P100 16GB + Tesla P100 16GB2048-token samples~147 s per step of 8 samples (~5 days per epoch of 22,800 samples)—
Qwen3.8-27B Q6_KTesla P100 16GB + Tesla P100 16GB155K (q8_0 KV)55.9 tok/s decodeiommu=pt, own engine, MTP 3
Qwen (local models)RTX 3070 8GB458KRuns and answers correctly with q8_0 KV cache, 7.8 of 8 GB VRAM usedYaRN ×1.75 (up from 262K native)
Qwen3.8-27B Q5RTX 3070 8GB + Tesla P100 16GB160K9.3–9.9 tok/s decode-sm tensor, split 6.5 / 16
Qwen3.8-27B Q5RTX 3070 8GB + Tesla P100 16GB111K95–143 tok/s prompt processing on 3K+ token promptsQ5 instead of Q4_0 (110–170 tok/s)
Qwen3.8-27B Q5RTX 3070 8GB + Tesla P100 16GB111K9.9 tok/s decode, 83 tok/s prompt (tensor split)-sm tensor instead of -sm layer (7.8 decode / 89 prompt)
Qwen3.8-27B Q5RTX 3070 8GB + Tesla P100 16GB + remote P100 over 1GbE—5.91 tok/s decode (layer split over RPC)Added a second machine's P100 over the network
Qwen3.8-27B Q4_0RTX 3070 8GB + Tesla P100 16GB7.8K-token prompt286 tok/s prompt processingbatch 8192 / ubatch 2048 (was 512 / 256: 171 tok/s)
HunyuanVideo FramePack I2VRTX 3070 8GB—4.5 s clip in ~7 min, no OOMFirst end-to-end image-to-video run on this card
Qwen3-Coder 80BConsumer GPU + DDR4 offload131K20.1 tok/s short prompt, 22.5 tok/s long promptK cache q8_0 to q4_0, --cache-reuse 256, llama.cpp b9006 to b9133