Swift-1.5

1 report

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Reported performance for Swift-1.5

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Swift-1.5 27B

AMD Radeon AI PRO R9700 32GB · WHIRL

reported speed:: 112.0 tokens/s generation
quant:: MXFP4 (GGUF)

Reported by the source; GPU count, offloading and concurrent requests can change this figure. Check the full setup before comparing.

coding

User reports 112 tok/s decode on coding prompts with WHIRL, the engine they wrote, for Swift-1.5 27B MXFP4 on a single Radeon AI PRO R9700, against 61 tok/s for llama.cpp b11214 on the same GGUF. Setup is one Radeon AI PRO R9700 32GB over USB4 on Windows 11, MXFP4 weights, WHIRL v0.1.3 with speculative decoding, single request. Prefill reaches 1,757 tok/s at 128K and 970 at 256K, and 4 concurrent users get 182 tok/s in total. On Ornith-1.5-35B-A3B MXFP4 WHIRL decodes at 258 tok/s and prefills over 11,000 tok/s at 8K.

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Reported configurations

Individual observations from this page, not expected speeds or a ranking. Select a model to open its report, with the source and offloading conditions. Reported context may be a limit rather than actual input length.

Model / hardware	Quant / engine	Reported context	Generation
Swift-1.5 27B AMD Radeon AI PRO R9700 32GB	MXFP4 WHIRL	Not reported	112.0 tokens/s