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Frank 2a7571abdc chore: remove stale root-level duplicates of scripts/ files 
- validate-vllm.sh (root) superseded by scripts/validate-vllm.sh
- vllm-qwen36.sh superseded by scripts/serve-vllm-qwen36-dflash.sh
 2026-08-10 21:12:48 -07:00
Frank f650fff0aa docs: polish pass — fix stale names, duplicates, branding, and README 
- Normalize 'VLLM' to 'vLLM' in prose across 6 docs (32 occurrences; wikilink
  targets untouched)
- Remove duplicated Environment Variables block in 27B Dankclaw doc
- Update stale model refs Qwen3-30B-A3B -> Qwen3.6-35B-A3B in example commands
- Fix VLLM Index: -- separators to em-dashes; correct model names on links
- README: document active services (ROCmFPX llama-server on Dankclaw, vLLM
  AWQ on Dankserver), replace broken [[docs/README.md]] link with docs/index.md
 2026-08-10 21:12:23 -07:00
Frank 993b6af576 docs: add DFlash/DSpark speculative decoding research + quantization-by-hardware guide 
- DFlash DSpark Speculative Decoding.md: verified method details (DFlash
  block diffusion from Z Lab arXiv:2602.06036; DSpark semi-autoregressive from
  DeepSeek arXiv:2607.05147), runtime support matrix (vLLM/llama.cpp/SGLang),
  exact vLLM --speculative-config recipes (incl. dflash/dspark), llama.cpp
  --spec-type recipes with sidecar auto-discovery, draft model table
  (z-lab Qwen3.6-27B-DFlash 2B, Qwen3.6-35B-A3B-DFlash 0.4B), deployment
  guidance for RTX 3090 (AWQ+Dflash) and Strix Halo (ROCmFPX MTP), measured
  45-50 t/s MTP decode on Strix Halo
- Quantization by Hardware Architecture.md: FP8/INT8/INT4/GPTQ/AWQ/GGUF/FP4/
  ROCmFP4 support per NVIDIA (Turing/Ampere/Ada/Hopper/Blackwell), AMD
  (CDNA MI250/MI300/MI350, RDNA 3/3.5/4), and CPU; recommended picks per
  Dankserver (AWQ/GPTQ 4-bit) and Dankclaw (ROCmFP4/Q4_K_M)
- index.md: link both new pages under Speculative Decoding & Quantization
 2026-08-10 21:09:17 -07:00
Frank 90c4883f89 feat: add consistent deployment/update process (deploy.sh + docs + AGENTS.md) 
- scripts/deploy.sh: target-aware deploy (dankclaw/dankserver). Pushes main,
  pulls on the target, installs/enables systemd unit, restarts service, and
  checks the health endpoint; --dry-run preview; pre-flight dirty-tree check
- docs/deployment.md: full deployment/update process with mermaid workflow,
  target map, manual update commands, service units, and troubleshooting
- AGENTS.md: add Deployment & Update Process section (deploy.sh usage, target
  map, mermaid workflow) and a Summary table row
- docs/index.md: crosslink deployment doc
 2026-08-10 21:04:37 -07:00
Frank 3a64c8f3dd 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
 2026-08-10 20:59:33 -07:00
Frank 841d872aa7 sync scripts from remotes: ROCmFPX llama-server.service (dankclaw), dankserver vLLM serve/validate; drop failed-attempt scripts 
- llama-server.service: dankclaw migrated to ROCmFPX runtime (Ling-3.0-flash,
  draft-mtp, no-mmap/direct-io) from regular llama.cpp Qwen3.6-27B-DFlash
- serve-vllm-qwen36-dflash.sh: dankserver version (relies on image 'vllm serve'
  entrypoint; HF cache mounted read-write)
- validate-vllm.sh: dankserver multi-stream vLLM validation (4 unique prompts,
  1-4 streams, prompt+completion speed)
- remove superseded scripts: serve-llamacpp-dflash.sh, validate.sh,
  vllm-awq-qwen36-dflash-ampere.sh, vllm-qwen36.service
 2026-08-10 19:48:46 -07:00
Frank ced4c6f46e sync: update vllm-awq-qwen36-dflash-ampere.sh from dankserver 
- Model: Avesed/Qwen3.6-35B-A3B-INT8-W8A8 (was AWQ 4bit)
- Image: vllm/vllm-openai:nightly (was :latest)
- Spec method: mtp with 2 tokens (was dflash with 12)
- Max model len: 200700 (was 32768)
- Max num seqs: 3 (was 1)
- Max batched tokens: 3072 (was 4096)
- GPU mem util: 0.97 (was 0.96)
- CPU offload: 30GB (was 40GB)
- Add --enable-prefix-caching
- Add --kv-cache-dtype auto
 2026-08-10 03:23:09 -07:00
Frank 11d66c3823 Set max-model-len to 32768 for testing 2026-08-09 22:19:32 -07:00
Frank 6bdabfc65b Add VLLM_USE_V2_MODEL_RUNNER=0 to skip V2 model runner MARLIN repacking OOM 2026-08-09 21:49:25 -07:00
Frank 83b0bea29b Fix: move commented speculative config to end to not break bash line continuation 2026-08-09 12:27:28 -07:00
Frank 88aa18ef34 Reduce GPU memory to 75%, add expandable_segments to fix OOM 2026-08-09 12:11:48 -07:00
Frank 9dfa16fae9 Disable speculative decoding - OOM on stable vLLM too 2026-08-09 12:08:26 -07:00
Frank 578c3e8f71 Enable DFlash speculative decoding (12 tokens), increase CPU offload to 20GB 2026-08-09 11:54:40 -07:00
Frank 8c13c7bbaa Add AGENTS.md git workflow rules and initial vllm-awq-qwen36-dflash-ampere.sh from dankserver 2026-08-09 11:54:04 -07:00
Frank ad96733340 Merge PR #1: Update AGENTS.md with target-specific branching and service status 2026-08-09 11:03:12 -07:00
Frank 69bb41057c Add --enable-auto-tool-choice and --tool-call-parser qwen3_xml for tool choice support 2026-08-08 11:23:57 -07:00
Frank dd19627635 Update validation script to use frank-default-small model name 2026-08-08 10:38:30 -07:00
Frank 35bd22cd75 Add --served-model-name frank-default-small 2026-08-08 10:35:24 -07:00
Frank 0f97dcf449 Update validation script to test parallel streams (4 concurrent requests) 2026-08-08 00:30:08 -07:00
Frank 6a7025d01e Iteration 2: Remove --enforce-eager to enable torch.compile (+14.6% prompt speed: 5.95 -> 6.82 tok/s) 2026-08-07 23:07:51 -07:00
Frank 1b90f421c6 Initial vLLM Qwen3.6-35B-A3B-FP8 serving with CPU expert offloading 2026-08-07 22:20:52 -07:00
Frank 9971bdef0f feat: initial vLLM Qwen3.6-35B-A3B-FP8 serve script with DFlash drafting on dankserver 
- Podman container with CUDA GPU access
- DFlash speculative decoding via --spec-method dflash
- FP8 KV cache, 4 parallel streams, 262K context
- CPU expert offloading via --cpu-offload-gb
- systemd service for persistent runtime
 2026-08-07 18:28:38 -07:00
Frank 5452bb63f1 Add vLLM serve script, systemd service, and validation test for Qwen3.6-35B-A3B-FP8 on dankserver 2026-08-07 18:19:40 -07:00
Frank 663e47866b Bump context to 600000 (200000/stream x 3 parallel) 2026-08-07 17:18:10 -07:00
Frank a5f72627bb Use --alias frank-default-large, multi-stream validation script 
- Replace --override-kv with --alias for model naming
- Validation script tests 1, 2, 3 parallel streams sequentially
- Model name confirmed: frank-default-large
 2026-08-07 17:15:09 -07:00
Frank 471e963350 Fix parallel validation, remove ngram-mod 
- Rewrite validation script with temp files for true parallel curl requests
- Both prompts now complete 1024 tokens each (was cutting first short)
- Remove ngram-mod from spec pipeline (was -1.2 tok/s regression)
- True parallel throughput: 15.68 tok/s across 2 streams
 2026-08-07 16:44:12 -07:00
Frank 2426ca563a Add ngram-mod to spec pipeline: -1.2 tok/s regression 
- DFlash+ngram-mod: 17.11 tok/s vs DFlash alone: 18.34 tok/s
- ngram overhead not offset by acceptance rate at current settings
- Keeping in place for now, may tune ngram-mod params later
 2026-08-07 16:25:49 -07:00
Frank 764a65080f Validation: 2 parallel prompts, ~18 tok/s with DFlash 
- Add second parallel prompt (Byzantine Empire history vs ML)
- Both hit 1024 tokens, combined 2048 in 111.6s = 18.34 tok/s
- Parallel throughput matches single-stream baseline
 2026-08-07 16:21:20 -07:00
Frank 25d57184a6 Enable DFlash speculative decoding, remove mlock 
- Add --spec-type draft-dflash (was missing, DFlash was inactive)
- Change --load-mode from mlock to none (RLIMIT_MEMLOCK too small for 2.7GB)
- Increase validation max_tokens from 256 to 1024 with complex ML prompt
- Baseline: 18.76 tok/s (was 7.62 tok/s without DFlash)
 2026-08-07 16:10:55 -07:00
Frank 1949f0651b Pivot to llama.cpp with DFlash speculative decoding on ROCm 
- Abandon vLLM/FP8 (Triton compilation hangs, ~0.5 tok/s on Strix Halo)
- llama.cpp v10133 with ROCm0 offload, DFlash draft model
- Main: unsloth/Qwen3.6-27B-MTP-GGUF:Q8_0 (~22GB)
- Draft: Alittlehammmer/Qwen3.6-27B-DFlash-GGUF-llama.cpp:Q8_0 (~1.8GB)
- 3 parallel streams, 131072 context/stream
- systemd service with minimal sandboxing (ROCm requires /dev/kfd access)
- Baseline: 7.62 tok/s (threshold 5.0 tok/s)
 2026-08-07 15:41:27 -07:00
Frank 2bb1b2ae1d Baseline: ThinkingCap 27B FP8 on dankclaw with enforce-eager and validation timeout 2026-08-07 08:58:20 -07:00
Frank e4fba35e89 Baseline: ThinkingCap 27B FP8 on dankclaw 
- vLLM 0.26.0+rocm723
- --kv-cache-dtype fp8 --gpu-memory-utilization 0.80
- --max-model-len 32768 --max-num-batched-tokens 2048
- --max-num-seqs 32 --reasoning-parser qwen3 --language-model-only
- Baseline response time: 219s for 50 tokens
 2026-08-07 08:49:59 -07:00
Frank 7dce375ab4 docs: fix dankclaw specs (30GiB RAM, 96GiB GPU-visible, ROCm 7.2.4) + add validate.sh 2026-08-06 22:40:44 -07:00
Frank 5076ef828f chore: fix typo in dankclaw specs, format index table 2026-08-06 22:29:23 -07:00
Frank dc356acce7 docs: add top-level knowledge base index 2026-08-06 00:16:47 -07:00
Frank 671129ea69 chore: ignore obsidian workspace files 2026-08-06 00:14:06 -07:00
Frank 39db415348 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
 2026-08-05 23:49:02 -07:00