Frank
87721ab0fe
Cross-cutting rename of the current llama.cpp endpoint on the RTX 3090
(port 7771) from frank-small to frank-secondary:
- Service trio: scripts/{frank-small.env,frank-small.service,
serve-frank-small.sh,download-frank-small.sh} → frank-secondary.*
- Test: tests/frank_small_unit.bats → tests/frank_secondary_unit.bats
- Runbooks: serverAppConfigs-docs/LLM/frank-small-*.md →
frank-secondary-*.md (9 files); the FreeToken runbook stays
freetoken-frank-small.md (it documents the retired CUDA-era service)
- Identifiers: FRANK_SMALL→FRANK_SECONDARY, llm_small→llm_secondary,
LLM_SMALL_*→LLM_SECONDARY_*, deploy_llm_small→deploy_llm_secondary
- Historical references to the OLD frank-small (FreeToken/CUDA on the
3090, and the Dankserver service that became frank-medium) are
preserved verbatim — they describe what the service was called
at the time.
121 lines
5.4 KiB
Markdown
121 lines
5.4 KiB
Markdown
---
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type: reference
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title: "frank-secondary on Dankclaw — llama.cpp, Gemma4-12B QAT Q4_K_M"
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description: "The active frank-secondary runbook — mainline llama.cpp on Dankclaw's RTX 3090 serving HauhauCS Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced at Q4_K_M with a separate MTP assistant sidecar chained behind ngram-mod, q8_0 KV, and --fit sizing the full 262k window: identity, payload, KV arithmetic, the spec-decode chain, deployed flags, the client contract, and what to check when it misbehaves."
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tags:
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- llm
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- frank-secondary
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- dankclaw
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- llama.cpp
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- rtx3090
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- gemma
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- mtp
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- vision
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timestamp: 2026-09-17
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---
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# frank-secondary — llama.cpp Gemma4-12B QAT Q4_K_M (MTP + ngram-mod)
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> **ACTIVE since 2026-09-17.** Replaces [[frank-secondary-qwen38-gsq-rco]]
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> (ISTA-DASLab Qwen3.8-27B-GSQ-RCO IQ3_S, now the rollback target) and
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> [[frank-secondary-vllm-gemma4]] (the same-day vLLM experiment, also the
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> rollback target). Same port (7771), same alias (`frank-secondary`), same
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> client contract surface.
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## Identity
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- **Endpoint:** `frank-secondary` at `192.168.0.143:7771` (Dankclaw).
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- **Runtime:** mainline llama.cpp master `37b53fd`, CUDA build for sm_86 with
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`-DGGML_CUDA_FA_ALL_QUANTS=ON`
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(`/home/dank/GitPackages/llama.cpp-mainline/build-cuda/bin/llama-server`).
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The FA_ALL_QUANTS flag is required: without it, q8_0 KV + flash attention
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collapses prefill ~12x on CUDA.
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- **Service shape:** root systemd unit `scripts/frank-secondary.service`
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(`User=dank`), launched by `scripts/serve-frank-secondary.sh` with tunables from
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`scripts/frank-secondary.env`.
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## Shape
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- **Model:** `HauhauCS/Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced` at
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Q4_K_M (6.87 GiB). Architecture `gemma4`: 48 layers, MHA with 16 kv heads
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x 512 head_dim, rope freq_base 1e6, final logit softcapping 30, per-layer
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token embeddings (PLE) inside the file, and a sliding-window attention
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pattern (`attention.sliding_window = 1024`) — most layers cache only a
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1024-position window, which is why the KV pool is a fraction of the
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full-ctx x all-layers number.
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- **Context:** four FULL 262,144-token slots (`CTX_SIZE=1048576`,
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`PARALLEL=4`). The explicit `CTX_SIZE` bypasses `--fit` on purpose: `--fit`
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maximises the TOTAL pool, which would shrink each slot below the full window
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once parallel > 1. The 4-slot boot idles at 22,346 MiB; each extra
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full-context slot costs 3,450 MiB, and a fifth projects to ~25.8 GiB — past
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the card. 4 is the measured max.
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- **Placement:** the whole model in VRAM (`--gpu-layers 999`); the host CPU
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only tokenizes and samples (its CPU belongs to the halogen engine serving
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frank-large).
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## Spec method
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The MTP head ships as a **separate** file (`mtp-gemma-4-12B-it.gguf`, arch
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`gemma4-assistant`, 4 nextn layers, 0.24 GiB), loaded via `--model-draft`
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with `--spec-type draft-mtp`. The same `--spec-type` value chains the
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draftless **ngram-mod** matcher, which attaches unconditionally; two
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context-backed drafters cannot share one process, so `draft-mtp,ngram-mod` is
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the only legal shape that carries both. Draft depth 3 + poll 50 (measured:
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depth 4 + poll 100 decoded WORSE at long context — the longer verification
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round costs more attention re-read than the extra accepted token earns).
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## KV
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**q8_0** (`--cache-type-k q8_0 --cache-type-v q8_0`), with flash attention
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(`--flash-attn on`, required for quantized KV). CPU-side cache capped at 2048
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MiB (`CACHE_RAM=2048`) to give back ~6 GiB of LPDDR — Gemma4 runs fully on the
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3090, so the CPU cache is not the hot path, and it is not a DeltaNet model so
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the >12.8 GiB floor does not apply.
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## Vision + audio
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`--mmproj` loads the BF16 projector
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(`mmproj-Gemma4-12B-QAT-Uncensored-HauhauCS-Balanced-BF16.gguf`, 11 tensors,
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52M params), which also carries an audio encoder. The fleet's image path
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lives here. Audio works: `input_audio` content parts transcribe verbatim
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(verified 2026-09-17 with a 16k mono WAV).
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## Payload
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The main GGUF, the BF16 mmproj, and the MTP sidecar live under
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`/home/dank/models/Gemma4-12B-QAT`. The serve script refuses to start if any
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is missing (a missing file is an unfinished download, and the unit's restart
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policy would otherwise turn it into a crash loop that reads like a runtime
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fault).
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## Client contract
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- **Alias:** `frank-secondary` (the `id` at `/v1/models`).
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- **Reasoning:** extracted to `reasoning_content` (`--reasoning-format
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deepseek`, unlimited budget).
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- **Tools:** supported (`--jinja` is pinned even though this build defaults
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it on, so a future build that flips the default cannot silently take tools
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away).
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- **Vision + audio:** supported.
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- **Sampling:** greedy by default (fleet contract); a client that sends a
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temperature gets its own, and the harness applies per-model overrides from
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`models.yml`.
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## Measured (max length)
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At 254k-token prefill / 253k-ctx decode, 4 slots, q8_0 KV, ubatch 1024:
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pp ~965 t/s, tg 257–302 t/s, idle 23,300 MiB of 24,576. Larger ubatches
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(2048) OOM the MTP draft context's pp compute buffer and must not be tried.
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## Rollback
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Payload and runtime for [[frank-secondary-qwen38-gsq-rco]] (ISTA-DASLab
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Qwen3.8-27B-GSQ-RCO IQ3_S) remain intact on disk. [[frank-secondary-vllm-gemma4]]
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is the same-day vLLM experiment (also a rollback target).
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# Citations
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- Model + mmproj + MTP sidecar: https://huggingface.co/HauhauCS
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- llama.cpp: https://github.com/ggml-org/llama.cpp
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- Serve script: `scripts/serve-frank-secondary.sh`; tunables: `scripts/frank-secondary.env`
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