117 lines
7.5 KiB
Markdown
117 lines
7.5 KiB
Markdown
---
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type: reference
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title: "frank-small on Dankclaw — llama.cpp, MiMo-V2.6 Q6_K, 2 x 200704, f16 KV"
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description: "The active frank-small runbook — llama.cpp master (CUDA sm_86) serving bartowski's MiMo-V2.6-Distill-Qwen-9B Q6_K GGUF on the RTX 3090: two conversations of 200,704 tokens with fully unquantized f16 KV, vision through the bundled projector, and the boot-pair arithmetic that prices every pool change."
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tags:
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- llm
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- frank-small
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- dankclaw
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- llama-cpp
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- gguf
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- rtx3090
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timestamp: 2026-10-03
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---
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# frank-small — llama.cpp MiMo Q6_K, 2 × 200,704, f16 KV
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> **ACTIVE since 2026-10-03.** The third shape Frank bought in two days on
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> this card: the freed third slot paid for **exact KV values**
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> ([[frank-small-llama-mimo-q5km]] documents that step and remains the
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> rollback), and the ~3.5 GiB still free then paid for the **Q6_K quant rung**
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> — the same file this endpoint served on 2026-10-01, come back as an
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> upgrade rather than a compromise. The pool held at 401,408 (2 × 200,704);
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> only the weights moved up.
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## Identity
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| | |
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|---|---|
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| Host / device | Dankclaw (192.168.0.143), RTX 3090, 24,576 MiB |
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| Endpoint | `http://192.168.0.143:7771` — alias `frank-small`, `/v1` OpenAI surface |
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| Runtime | llama.cpp master, CUDA sm_86 build `…/llama-master/build-cuda/bin/llama-server` (`GGML_CUDA_FA_ALL_QUANTS=ON`) |
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| Unit | root systemd `frank-small.service` ([`scripts/frank-small.service`](../../scripts/frank-small.service)), `User=dank`, `Restart=on-failure`, `LimitMEMLOCK=infinity` |
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| Serve script | [`scripts/serve-frank-small.sh`](../../scripts/serve-frank-small.sh), tunables [`scripts/frank-small.env`](../../scripts/frank-small.env) |
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| Weights | `/home/dank/models/MiMo-Q6K/MiMo-V2.6-Distill-Qwen-9B-Q6_K.gguf` — bartowski/MiMo-V2.6-Distill-Qwen-9B-GGUF **Q6_K**, 7,793,710,624 B, sha256 `ef96d05a…` (qwen3_5 hybrid: 32 layers, 8 full-attention + 24 Gated DeltaNet, native 262,144, no MTP tensors) |
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| Projector | `…/MiMo-Q6K/mmproj-MiMo-V2.6-Distill-Qwen-9B-f16.gguf` — 918,166,048 B, sha256 `ff348f…` (hardlink of the Q5KM dir's copy, link-count-2 verified; the dir is self-contained) |
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| Fetch | [`scripts/download-frank-small.sh`](../../scripts/download-frank-small.sh) — `-f`, byte count + LFS sha256 verified, `--verify-only`; both files verified against the pinned sha on the host before this deploy |
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| Seam | `tests/frank_small_unit.bats` (argv assertions against a stub engine: payload path, slot geometry, KV pair, batch pair, projector opt-out) |
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## Shape and KV contract
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`--ctx-size 401408 --parallel 2` — llama.cpp divides the pool across slots,
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so each conversation gets `n_ctx_slot = 200704`. `CTX_SIZE` MUST stay
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divisible by `PARALLEL`; the seam enforces it. Both K and V are unquantized
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(f16) — the flags stay explicit because `--flash-attn` must not be lost if V
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ever goes back to `q8_0` (the serve script pins it, the seam pins the pin).
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**The Q6_K rung is a weights-side spend only.** File delta +917,585,920 B
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(+875 MiB) against Q5_K_M, same KV, same slot geometry, same batch pair.
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Priced from the measured Q5 boot at this shape (non-KV 7,986 MiB): the boot
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landed **21,276 MiB used / 2,849 MiB true free** — non-KV measured 8,732 MiB,
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inside the 2–3 GiB floor, so the pool stayed at 401,408 and the
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12,288-token step-down ladder was never climbed. Quote `nvidia-smi`'s `free`
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field, never `total − used`: the driver holds ~450 MiB of reserve the
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subtraction hides (that error once overstated this card's slack by a
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half-GiB).
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**Quant ceiling, evaluated and closed 2026-10-03 (Frank: stay here).**
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`Q8_0` is the only rung above this one on the Hub (9,545,979,424 B = 9,104
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MiB, +1,671 over Q6_K): at the live pool it would leave 1,178 MiB free —
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under the floor — and the calibrated bandwidth law (it predicted this file's
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94.4 t/s from Q5_K_M's 104.84 within 1 %) puts decode at ~72 t/s, a further
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−24 % for the near-lossless rung. Fitting it was priced two ways (trim the
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pool to 2 × 182,272 — which also breaks frank-large's 183,501-token
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compaction-prompt fit by 1,236 tokens — or revert V to `q8_0`), and both
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were declined. Re-open only on evidence the Q6_K residual matters.
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**Pool prices on this card come from boots, never formulas** — the measured
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boot-pair table lives in [[frank-small-llama-mimo-q5km]] (*Shape and KV
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contract*) and still prices every rollback shape.
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## Measured on this shape (2026-10-03, Q6_K, 2 × 200,704, f16 KV)
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|Check|Result|
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|---|---|
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|Boot to healthy|model + projector resident in ~2.3 s (load log `0.02.27`), `n_slots = 2`, `n_ctx_slot = 200704`, `loaded multimodal model`, health 200; deploy e2e gate 33/33|
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|VRAM|**21,276 MiB used / 2,849 MiB free** of 24,576 (`nvidia-smi` `free`, steady state) — inside the 2–3 GiB floor with exact V AND the higher rung|
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|Decode, temp 0, no thinking|**94.44 tok/s** on the identical 506-token probe that measured 104.84 on Q5_K_M — **−10 %**. Decode on this card is weight-bandwidth-bound, and Q6_K streams ~10 % more bytes per token; the quant rung buys quality with decode rate, measurably|
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|Prefill|2,229.9 t/s (same shallow probe; rates are depth-dependent, not comparable across probes)|
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|Vision|512×512 solid-red PNG → **`Red`** (277 prompt tokens — the image really reached the tower). See the probe-size trap in *Client contract*|
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|Tools / thinking|native `tool_calls`, thinking in `reasoning_content`, thinking OFF unless `enable_thinking: true` (MiMo template default; `models.yml` ships it in `extraBody`)|
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## Client contract
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llama.cpp surface, live-verified on this model family: model id `frank-small`,
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native tools via `--jinja` (`tool_calls` in the response), thinking in
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**`reasoning_content`**, vision via `image_url` content parts. Two vision
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traps, both measured here:
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1. A top-level `images` field on `/v1/chat/completions` is silently ignored
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and the model invents a color.
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2. **The probe image must be big enough to supply real image tokens.** A
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10×10 px solid-red PNG came back "The image is a video, so I can't see its
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content" — the engine itself warns at boot that Qwen-VL wants ≥ 1024 image
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tokens, and a postage-stamp image lands one patch below usable signal.
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512×512 answers `Red` in 19 tokens. Always probe vision with a ≥ 256 px
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image; a wrong-color answer from a tiny image is the probe's fault, not
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the endpoint's.
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`~/.omp/agent/models.yml` sets `contextWindow: 200704` — the PER-SLOT window,
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so the harness compacts before llama.cpp answers a longer prompt with a 400.
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## Rollback
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|Target|How|
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|---|---|
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|Q5_K_M at the same shape|`scripts/frank-small.env` `MODEL_FILE=/home/dank/models/MiMo-Q5KM/MiMo-V2.6-Distill-Qwen-9B-Q5_K_M.gguf` (+ `MMPROJ_FILE` in that dir) and the deployer default — buys back 875 MiB (3,571 free measured) **and the 10 % decode rate** (104.84 tok/s measured). Payload sha-verified on disk|
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|3 × 180,224 + q8_0 V|`CTX_SIZE=540672 PARALLEL=3 CACHE_TYPE_V=q8_0` (measured 21,684 used / 2,441 free **with Q5_K_M** — Q6_K does NOT fit that shape inside the floor; pair them explicitly)|
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|SGLang + INT8|[[frank-small-sglang-mimo-v26]] — payload staged to `/home/dank/.AGENTTRASH/20261002-retired-llm-payloads/`|
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## When it misbehaves
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Same decision tree as [[frank-small-llama-mimo-q5km]] (*When it misbehaves*):
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`No CUDA GPUs are available` ⇒ `nvidia-modprobe -u -c=0`; a 400 naming
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200,704 ⇒ the conversation outgrew one slot, not the pool; slow decode after
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a shape change ⇒ check `nvidia-smi` for KV pushed into unified memory; queue
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behind two long generations ⇒ the slot ceiling is two, by contract.
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