 Frank
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3a64c8f3dd
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docs: fact-check knowledge base against live machines and vLLM source
Correct stale and incorrect facts after exhaustive verification:
- Dankclaw: NUMA node 0 = 31213 MB; disk 661G/1.1T/38%; vLLM 0.26.0 in
/home/dank/vllm-rocm-venv (not vllm-env); clarify 96 GiB GPU-visible is a
driver overcommit ceiling over 30 GiB physical (confirmed via sysfs
mem_info_vram_total=103079215104)
- Dankserver: disk 729G/140G free/84%; /mnt/entropy 910G free; active service
is vLLM EngineCore (22 GB), not llama-server; CPU model Ryzen 7 7700X
- index.md: Dankclaw 30GiB phys / 96GiB GPU-visible (was '61 GB unified');
add deployment topology mermaid diagram
- vLLM defaults (from source): gpu_memory_utilization=0.92, max_num_seqs=128,
swap_space removed (now --kv-offloading-size) across Overview/Index/RAM/Hybrid
- Quantization: FP8 not native on Ampere (RTX 3090) or RDNA 3.5 (gfx1151);
add per-model hardware quantization notes; AWQ/GPTQ limited on ROCm
- Speculative decoding: add DFlash, DSpark, MTP, EAGLE3 to feature list
- Confirm Qwen3.6-27B and Qwen3.6-35B-A3B specs are correct (HF-verified)
- Production note: Dankclaw primary llama.cpp service runs ROCmFPX
Ling-3.0-flash RocmFP4 MTP, not vLLM Qwen3.6-27B
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2026-08-10 20:59:33 -07:00 |
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Frank
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39db415348
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feat: initialize vLLM scripts knowledge base
- VLLM Overview: installation, CLI, API, architecture, quantization, parallelism
- VLLM Index: quick reference with commands, endpoints, parameters
- Dankserver System Specs: RTX 3090 24GB, 62GB RAM, Ubuntu 24.04
- Dankclaw System Specs: AMD Strix Halo APU, 61GB unified, ROCm 7.1
- RAM/CPU Offloading in VLLM: KV cache swap, gpu_memory_utilization, preemption
- Hybrid CPU/GPU Processing (Dankserver): NVIDIA GPU + system RAM configuration
- Shared Memory Architecture (Dankclaw): AMD unified memory and ROCm setup
- Running Qwen3.6 35B A3B FP8 on Dankserver: MoE model deployment guide
- Running Qwen3.6 27B FP8 on Dankclaw: dense model deployment guide
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2026-08-05 23:49:02 -07:00 |
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