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e92c72fd111a739cc2ca7ea893e68845a0218470
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17 Commits
Author SHA1 Message Date
Frank e92c72fd11 docs: frank-default-large llama.cpp draft-dflash deployment + benchmark results; retire Ling vLLM references 2026-08-11 17:24:59 -07:00
Frank aa2f4bfe39 feat: frank-default-large → llama.cpp Qwen3.6-27B Q8_K_P + DFlash draft + ngram-mod (bench pending) 2026-08-11 13:47:37 -07:00
Frank 4c5a4a5f3b docs: frank-default-small — 4 parallel slots, batch 8192/2048, n-cpu-moe 32 
Update Dankserver System Specs and deployment to reflect the 4-stream config:
- 4 parallel slots (800000 total ctx), batch 8192 / ubatch 2048
- n-cpu-moe 32 (8 expert layers back on GPU)
- ~870 MiB VRAM headroom under 4-stream load
- Knob documented: n-cpu-moe 36 gives ~1.7 GiB more headroom if needed
 2026-08-11 03:13:36 -07:00
Frank 677b4af2a4 docs: frank-default-small now uses ngram-mod, DFlash retired 
- SWAT from DFlash (see ngram-mod benchmarks below); draft model
  not loaded. Active spec: --spec-type ngram-mod n_min=48/n_max=64/n_match=24.
- Update Dankserver specs, deployment.md, DFlash doc to ngram-mod.
- VRAM footprint: 14 GB (was 20 GB), ~10 GB free headroom.
 2026-08-11 02:41:33 -07:00
Frank 5c9e812221 docs: frank-default-small now 200000 ctx/stream, batch 3072/1536, --no-mmap 
Sync deployment.md, Dankserver specs, DFlash doc to the tuned config:
ctx reduced to 200000 per stream (pool 600000) to free KV VRAM for the larger
batch; --no-mmap eager RAM load; ctx-checkpoints 4; ~20GB VRAM / 32GB RAM.
models.json contextWindow -> 200000.
 2026-08-11 01:52:12 -07:00
Frank 35c44c4123 docs+deploy: Dankserver now llama.cpp frank-default-small (HauhauCS Q6_K_P + DFlash) 
Retire vllm-awq-qwen36 (AWQ) from target maps, README, deployment, KB index,
Dankserver specs, DFlash and FP8 docs. New dankserver runtime: upstream
llama.cpp, port 7770, alias frank-default-small, 3x262144 ctx, DFlash Q8_0
draft, MoE experts offloaded to CPU, attention+KV on GPU (K q8_0, V f16).
deploy.sh now maps dankserver to frank-default-small and symlinks its unit.
models.json: dankserver baseUrl -> :7770, contextWindow -> 262144.
 2026-08-11 01:18:29 -07:00
Frank 903d54c389 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.
 2026-08-10 23:37:27 -07:00
Frank 91188d4b1b docs: add Ling-3.0-flash vLLM-ROCm deployment plan (grilled decisions, port 7770) 2026-08-10 22:02:28 -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 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 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 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