Frank
8f129180d8
Staged 59 GiB of retired LLM payloads on Dankclaw to ~dank/.AGENTTRASH/20261002-retired-llm-payloads/ (vLLM MiMo BF16, Qwen3.5-9B MTP source, both DFlash dirs, Gemma4-12B-QAT, SGLang MiMo INT8) and corrected every doc claim about what is on disk: gufo's rollback pair (Q4_K_XL weights + the Q8_K_XL DFlash2 drafter) and frank-small's Q6_K stay in place, so the rollback paths in the tags' env files still resolve. The vLLM-era frank-large fetch trio moves to old/ with its runtime; runbook links updated.
114 lines
6.1 KiB
Markdown
114 lines
6.1 KiB
Markdown
---
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type: reference
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title: "frank-small on Dankclaw — llama.cpp, MiMo-V2.6-Distill-Qwen-9B Q5_K_M GGUF"
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description: "The active frank-small runbook — a CUDA (sm_86) build of llama.cpp master serving bartowski's MiMo-V2.6-Distill-Qwen-9B Q5_K_M GGUF on the RTX 3090: two native-window sessions, the asymmetric KV contract (f16 K + q8_0 V), the VRAM fit, measured rates, and what to check when it misbehaves."
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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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- rtx3090
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- mimo
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- gguf
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- kv-cache
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timestamp: 2026-10-02
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---
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# frank-small — llama.cpp MiMo-V2.6 Q5_K_M (RTX 3090)
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> **ACTIVE since 2026-10-02.** One quant step down from
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> [[frank-small-llama-mimo-q6k]] on the same runtime, the same shape and the
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> same KV contract. Frank's order: `bartowski/MiMo-V2.6-Distill-Qwen-9B-GGUF:Q5_K_M`
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> on llama.cpp, two contexts, whatever context size fits the 3090. The answer
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> to "whatever fits" is unchanged — **2 x 262,144**, because 262,144 is the
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> model's native window and two of them already fit.
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## Identity
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|Field|Value|
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|---|---|
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|Endpoint|`192.168.0.143:7771`, served alias `frank-small`|
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|Runtime|llama.cpp **master** (qwen35 model support), CUDA build `sm_86`, at `/home/dank/GitPackages/llama-master/build-cuda/bin/llama-server` — unchanged across the quant swap|
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|Payload|`bartowski/MiMo-V2.6-Distill-Qwen-9B-GGUF` **Q5_K_M**, 6,876,124,704 B (6.40 GiB), sha256 `04cf46f2b5584ef922697d6c063f94879434fb86c467f1a09e52daf0cddaf35f`, at `/home/dank/models/MiMo-Q5KM/` (fetched by `scripts/download-frank-small.sh`)|
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|Unit|root `frank-small.service` (repo `scripts/frank-small.service`, `User=dank`, relinked), env `scripts/frank-small.env`, serve `scripts/serve-frank-small.sh`|
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|Repo pins|`tests/frank_small_unit.bats` (stub-argv seam + the VRAM arithmetic), `deploy_llm_small` gates in `scripts/deploy-remote.sh`|
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## Shape and the KV contract
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`--ctx-size 524288 --parallel 2` — llama.cpp divides the pool across slots, so
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each session gets `n_ctx_slot = 262144`, the model's full native window (boot
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log confirms `n_slots = 2, n_ctx_slot = 262144, kv_unified = 'false'`).
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The KV contract is Frank's: **K unquantized (f16), V `q8_0`** —
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`--cache-type-k f16 --cache-type-v q8_0`. Two hard dependencies ride on it:
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- **`--flash-attn on` is mandatory**: quantized V exists only on the FA path.
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Without the flag the engine falls back silently and the contract becomes a
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lie. The serve script pins the trio; the bats seam pins the script.
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- The VRAM budget: attention KV lives in the 8 full-attention layers only
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(4 KV heads × 256 dim). K f16 ≈ 16 KiB/token, V q8_0 ≈ 8.5 KiB/token
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(34 B per 32-element block) ⇒ ~24.5 KiB/token over the 524,288-token pool ≈
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**12.5 GiB**. Weights 6.40 + KV 12.5 + Gated DeltaNet state (~25 MiB/slot) +
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compute buffers/CUDA graphs ⇒ **20,164 MiB measured** against the card's
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24,576 MiB.
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**Why the quant step did not buy a bigger window.** The model cannot be run
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past its trained 262,144 without scaling, and two of those windows are already
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the pool's ceiling. The 0.86 GiB the smaller quant frees is margin, not
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geometry. It is also not enough to un-quantize V: f16 V costs 16 KiB/token
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instead of 8.5, i.e. +3.96 GiB on this pool, which lands past the card. That
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arithmetic is a test (`the KV budget fits the 3090…`), so a future CTX_SIZE or
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quant change that breaks the fit fails the suite instead of the boot.
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## Measured on this file (2026-10-02)
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|Check|Result|
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|---|---|
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|Boot to healthy|~20 s, `n_slots = 2`, `n_ctx_slot = 262144`|
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|VRAM|20,164 MiB / 24,576 MiB (`nvidia-smi`)|
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|Decode, temp 0, no thinking|**100.4–101.8 tok/s** (256–512 token completions at ~900-token depth)|
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|Two concurrent requests|both answered, 256 tokens each in 3.2 s wall (slots are real)|
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|Tools|native `tool_calls` with correct arguments (`get_weather {"city":"Seattle","unit":"c"}`)|
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|Thinking|`reasoning_content` populated on a reasoning-requiring prompt|
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## Client contract
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- Thinking arrives in **`reasoning_content`** (`--reasoning-format deepseek`),
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the field `models.yml` reads for this endpoint.
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- **Thinking is off unless the request asks**: the MiMo GGUF template defaults
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`enable_thinking` false, so `models.yml` ships
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`chat_template_kwargs: {enable_thinking: true, preserve_thinking: true}` in
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`extraBody`. A raw client that omits it gets a direct answer — measured, and
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not a fault. Trivial questions produce no thinking even with the flag on.
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- Tools: `--jinja` + server-side parsing, verified 2026-10-02.
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- **Text-only.** This GGUF carries no vision tensors. The HF repo does ship a
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paired `mmproj-MiMo-V2.6-Distill-Qwen-9B-bf16.gguf`, so vision is one
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`--mmproj` away if it is ever wanted here (frank-primary is the fleet's
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vision endpoint today).
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## No spec decode
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The GGUF has no MTP tensors (the same fact that made SGLang's NEXTN a 0.00
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ghost), and the cross-model DFlash draft
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(`/home/dank/models/DFlash-Qwen35/qwen3.5-9b-dflash-Q8_0.gguf`) is an
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optimization candidate, not a default — acceptance has to be measured on this
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traffic first. The bats seam fails if a draft flag ships unannounced.
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## Rollback
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|Target|How|
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|---|---|
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|Q6_K, same runtime|`scripts/frank-small.env` `MODEL_FILE=/home/dank/models/MiMo-Q6K/MiMo-V2.6-Distill-Qwen-9B-Q6_K.gguf` (7,793,710,624 B, still on disk) and the deployer's `LLM_SMALL_MODEL_FILE` default|
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|SGLang + INT8|[[frank-small-sglang-mimo-v26]] — venv and old unit/env/serve trio still in place; the INT8 payload was staged to `/home/dank/.AGENTTRASH/20261002-retired-llm-payloads/` on 2026-10-02, so restore it there or re-fetch with `old/download-frank-small-sglang-int8.sh`|
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## When it misbehaves
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- Port 7771 dark: `journalctl -u frank-small -n 50`; the serve script exits 1
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naming the missing file if the binary or GGUF moved.
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- `No CUDA GPUs are available`: the 3090 vanished from the bus or the UVM node
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is missing — `nvidia-modprobe -u -c=0` (the serve script runs it).
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- Requests queue behind each other: two concurrent long generations are the
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slot ceiling by contract.
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- Slow decode after a CTX or quant change: check `nvidia-smi` — pushing KV out
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of VRAM into unified memory halves the rate silently.
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