docs: reflect Ling-3 vLLM (frank-default-large) on Dankclaw
Update target maps (AGENTS, README, deployment, deploy.sh) from the retired ROCmFPX llama.cpp stack to the active vLLM-ROCm CIRU INT4 service on port 7770 with MTP speculative decoding. Align Dankserver to the running vllm-awq-qwen36 (AWQ, port 34401). Refresh KB pages: Dankclaw system specs (gpu-mem-util 0.95, CIRU venv), quantization choices (INT4 primary, MXFP4 experiment), DFlash/DSpark Dankclaw section, and the KB index topology.
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@@ -10,7 +10,7 @@ Use this page when you choose a model format for Dankserver or Dankclaw. The sho
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- NVIDIA Ada (RTX 40 series): FP8 or AWQ.
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- NVIDIA Hopper / Blackwell (H100, RTX 50 series): FP8, NVFP4.
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- AMD CDNA (MI300 series): FP8 or MXFP4.
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- AMD RDNA 3 / Strix Halo (gfx11): GGUF Q4_K_M or ROCmFP4.
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- AMD RDNA 3 / Strix Halo (gfx11): Quark INT4 (vLLM), GGUF Q4_K_M, or ROCmFP4.
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- CPU-only: any GGUF quant.
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## Quantization Types
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@@ -112,13 +112,14 @@ The RTX 3090 has no native FP8 or FP4 tensor cores. Use:
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### Dankclaw (Strix Halo gfx1151, RDNA 3.5)
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RDNA 3.5 has no native FP8 tensor cores. The APU shares memory. Use GGUF through llama.cpp, or ROCmFPX formats:
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RDNA 3.5 has no native FP8 tensor cores. The APU shares memory. The active Ling-3.0-flash service runs vLLM-ROCm with the AMD Quark INT4 (W4A16) format (the jcbtc CIRU Strix-native bundle). INT4 weights keep the 124B model inside the 96 GiB frame buffer with a full-precision KV cache.
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| Ranking | Format | Why |
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|---------|--------|-----|
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| 1 | ROCmFP4 (ROCmFPX fork) | native ROCm kernels; proven with Ling-3.0-flash MTP |
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| 2 | GGUF Q4_K_M / Q8_0 | works with upstream llama.cpp |
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| 3 | FP8 (vLLM) | software emulation; memory savings only |
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| 1 | INT4 W4A16 (Quark/vLLM) | active; fits 96 GiB; native ROCm kernels; concurrency |
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| 2 | MXFP4 (Quark) | same-bit, higher accuracy; beta on gfx1151 (A/B experiment) |
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| 3 | GGUF Q4_K_M / Q8_0 | works with upstream llama.cpp only |
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| 4 | FP8 (vLLM) | software emulation; memory savings only; no compute win |
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## See Also
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