record performance fixes: FA_ALL_QUANTS build flag (dankserver), RDNA triton FA env (dankclaw)
- frank-default-large: GGML_CUDA_FA_ALL_QUANTS=ON is mandatory in the FastMTP build; without it q8_0 KV + FA falls back to a slow path and prefill collapses ~12x (95 -> 1312 t/s at 8K, measured) - frank-default-small: FLASH_ATTENTION_TRITON_AMD_ENABLE=TRUE + pure-python flash_attn (triton_amd) + stub; without it the vision encoder warmup OOMs via torch SDPA
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@@ -38,3 +38,11 @@ GPU_MEMORY_UTILIZATION=0.92
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NGRAM_LOOKUP_MAX=5
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NGRAM_LOOKUP_MIN=1
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NUM_SPEC_TOKENS=5
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# RDNA flash-attention for the vision encoder (and general FA paths).
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# Without this, the mm encoder falls back to torch SDPA and the warmup
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# OOMs (256 GiB score matrix at max_model_len; measured 2026-08-17).
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# Requires the flash_attn package with flash_attn_triton_amd findable
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# (the pure-Python copy from the CIRU package plus a flash_attn_2_cuda
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# stub; see docs/frank-redo-2026-08-17.md).
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FLASH_ATTENTION_TRITON_AMD_ENABLE=TRUE
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