Qwen3.8 27B
on 4× NVIDIA RTX 5060 Ti 16GB · vLLM
Use cases
codingagentic
Summary
User reports running Qwen3.8 27B with tensor parallelism across 4x RTX 5060 Ti 16GB in a Lenovo P620 (Threadripper PRO 3975WX, 128GB DDR4).
Setup is vLLM with FP8 weights and MTP3 speculative decoding, headless Ubuntu, NCCL 2.30.7. Decode at C1 is 100-110 tokens/s and prefill is 2.5-3k tokens/s per stream.
User compares NVFP4+MTP3 (137-141 t/s C1, 422 t/s C4 sum, ~3.5k prefill), SGLang NVFP4+DFlash (118-137 t/s C1, 357-386 t/s C4 sum, ~3.4k prefill), and llama.cpp Q6+MTP3 (95 t/s C1, 83 t/s C4 sum, ~1.2k prefill). NVFP4 was 1.4x faster than FP8 but degraded in MTP3 tests (F1 0.44 vs 0.73).