@superalesha: Don't dare bury RTX 3090 until you read this! @UnslothAI shipped two new 4-bit quants of qwen3.6-35b this week. i spent…

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Summary

A benchmark comparison of nvfp4, nvfp4-fast, and AWQ 4-bit quantizations of Qwen3.6-35B on RTX 3090s shows similar performance, with the MTP head trick boosting throughput by 41%.

Don't dare bury RTX 3090 until you read this! @UnslothAI shipped two new 4-bit quants of qwen3.6-35b this week. i spent the night racing them against awq on my 4x3090 to find the fastest one. nvfp4, nvfp4-fast and awq land within 17% on decode, ~3% on prefill, and within 3 points on gpqa, mmlu-pro and code. the format war is a draw. the 3090 has no fp4 units, so vllm runs every one as w4a16 on marlin. "fast" has nothing to run on. then i flipped the mtp head that ships inside the checkpoint. 173 -> 246 tok/s , +41%, it accepted 95% still beast
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Cached at: 07/12/26, 12:56 PM

Don’t dare bury RTX 3090 until you read this!

@UnslothAI shipped two new 4-bit quants of qwen3.6-35b this week. i spent the night racing them against awq on my 4x3090 to find the fastest one.

nvfp4, nvfp4-fast and awq land within 17% on decode, ~3% on prefill, and within 3 points on gpqa, mmlu-pro and code. the format war is a draw. the 3090 has no fp4 units, so vllm runs every one as w4a16 on marlin. “fast” has nothing to run on.

then i flipped the mtp head that ships inside the checkpoint. 173 -> 246 tok/s , +41%, it accepted 95%

still beast

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