Commit Graph
40 Commits
Author SHA1 Message Date
Frank 25e90bbbf7 deploy: frank-default-large final config — ROCm + draft-dflash, 3x200700 ctx (bench-fastest) 2026-08-11 16:27:15 -07:00
Frank d0c80b5b1a bench: 4k pipeline harness w/ early crash check; parametrized spec-type 2026-08-11 16:14:44 -07:00
Frank df185c8d22 feat: full-pipeline 64k spec benchmark harness 2026-08-11 15:07:21 -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 a74c1c5bcb Lower dankserver compute threads 8→7 to leave CPU headroom 2026-08-11 13:36:36 -07:00
Frank df41aaafe7 Offload one more MoE expert to CPU on frank-default-small (32→33 of 40) 2026-08-11 13:13:17 -07:00
Frank 870376d75f feat: frank-default-small — 4 slots, batch 8192/2048, n-cpu-moe 32, ngram-mod
- PARALLEL=4 (800000 total ctx), batch=8192, ubatch=2048
- n-cpu-moe=32 (moved 8 expert layers back to GPU)
- ctx-checkpoints=4 for headroom during larger batch compute
- All other tunables unchanged (ngram-mod, no-mmap, no-kv-offload, q8_0/f16 KV)
2026-08-11 02:54:49 -07:00
Frank fd528ab364 chore: frank-default-small — ngram-mod, drop DFlash draft
- spec-type → ngram-mod (no separate draft model)
- drop --model-draft, --spec-draft-n-max; add --spec-ngram-mod-n-min/max/match
- DFlash batch default fallback SPEC_TYPE → ngram-mod
- env: SPEC_TYPE=ngram-mod, NGRAM_MOD_N_MIN=48, N_MAX=64, N_MATCH=24
- DRAFT_FILE env var emptied (not used under ngram-mod)
2026-08-11 02:29:32 -07:00
Frank 9971f83e8b perf: frank-default-small ctx 200000/stream, --no-mmap, batch 3072/1536
Lower each stream to 200000 ctx (pool 600000) to free KV VRAM for the larger
batch. Add --no-mmap so the CPU-resident MoE experts load eagerly into RAM
(avoids decode page faults). Keep KV on GPU. Experts already fully on CPU.
2026-08-11 01:45:41 -07:00
Frank e45f457ad4 perf: frank-default-small batch 3072 / ubatch 1536 + ctx-checkpoints
Bigger logical/physical batches for prefill throughput. Enable
--ctx-checkpoints to park attention checkpoints in RAM, holding peak GPU
memory down so the larger ubatch fits the 24GB VRAM alongside 3x262144 KV
without OOM. Weight split unchanged (experts CPU, non-experts GPU).
2026-08-11 01:33:28 -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 6a86a9df93 fix: frank-default-small ctx-size 786432 (3 slots x 262144 each)
llama.cpp splits --ctx-size across --parallel slots, so 262144 total gave
87552 per stream. Non-negotiable is 262144 per stream: total pool must be
786432.
2026-08-11 01:05:24 -07:00
Frank f93096f2bf feat: frank-default-small = HauhauCS Qwen3.6-35B-A3B uncensored Q6_K_P + DFlash on dankserver
llama.cpp service replacing retired vllm-awq-qwen36 on port 7770 with alias
frank-default-small. Wrapper sources frank-default-small.env for tunables:
3 parallel slots at 262144 ctx, draft-dflash n-max 7, KV K=q8_0 V=f16 on GPU,
all MoE experts on CPU (--n-cpu-moe 40), non-expert tensors on GPU, mmproj
vision + jinja. Unit: frank-default-small.service (ExecStart in dankserver
repo clone /home/dank/vLLM/scripts).
2026-08-11 00:57:04 -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 52ad985978 feat: raise Ling-3 GPU memory utilization to 0.95
The 0.72 default from native-256k.env OOMs. Export 0.95 in the wrapper;
native-256k uses ${GPU_MEMORY_UTILIZATION:-0.72} so this value wins.
2026-08-10 23:25:02 -07:00
Frank bf14ac7a7b fix: run Ling-3 vLLM from a cwd with no top-level vllm/ dir
The launcher does not change directory, so process cwd becomes sys.path[0]
for the 'python -m ...registry' model-inspection subprocess. From the CIRU
package root, the top-level vllm/ repo dir shadows the editable install as a
namespace package, breaking lazy imports (SamplingParams) and failing model
architecture inspection. cd to /home/dank/ling3-ciru before exec.
2026-08-10 23:16:46 -07:00
Frank 4a17948443 feat: add Ling-3.0-flash vLLM service for Dankclaw (frank-default-large, port 7770)
- serve-ling3-vllm.sh: wrapper around jcbtc validated run-256k.sh (TRITON_MLA,
  MTP K1, 256k, 6 slots, ROCr idle-fix LD_PRELOAD); sets HOST/PORT/
  SERVED_MODEL_NAME=frank-default-large
- frank-default-large.service: systemd unit, User=dank, port 7770
2026-08-10 22:36:37 -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 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 0f97dcf449 Update validation script to test parallel streams (4 concurrent requests) 2026-08-08 00:30:08 -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