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docs: DiffusionGemma research + first-hand smoke test on 3090 Ti

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google/diffusiongemma-26B-A4B-it (released 2026-06-10) — Google's first
open-weight text-diffusion LLM. Does NOT run in Ollama (unknown arch
'diffusion-gemma'); built llama-diffusion-cli from ggml-org/llama.cpp PR
#24423 and smoke-tested Q4_K_M on steel141's 3090 Ti.

- New reference doc with specs, build recipe, throughput, and gotchas
- CORPUS_ollama_variants.md: "not an Ollama variant" callout
- README index line for the reference doc
- scripts/diffusiongemma-smoketest/ harness + raw result logs

Findings: ~106 tok/s effective / ~2030 tok/s in-step-parallel; correct code
+ coherent reasoning; <|channel>thought CoT eats the 256-tok canvas so strict
short formats need block budgeting. nvidia-smi index != CUDA index on steel141
(select 3090 Ti by UUID). Experimental research artifact, not homelab-deployable
until diffusion arch merges to llama.cpp mainline.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Mortdecai
2026-06-17 22:09:48 -04:00
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scripts/diffusiongemma-smoketest/results/format_multiblock.log
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0.00.778.413 W load: control-looking token: 212 '</s>' was not control-type; this is probably a bug in the model. its type will be overridden
0.00.778.868 W load: control-looking token: 50 '<|tool_response>' was not control-type; this is probably a bug in the model. its type will be overridden
0.00.803.531 W load: special_eog_ids contains '<|tool_response>', removing '</s>' token from EOG list
0.04.672.736 I diffusion: -n 512 -> 2 blocks, n_ubatch=2560 n_batch=2560 n_ctx=2560 (canvas_length=256)
0.04.672.739 I diffusion: --fit has no effect here; context is sized from -n and the canvas. Set -ngl / --n-cpu-moe to control device memory.
0.04.673.245 W llama_context: n_ctx_seq (2560) < n_ctx_train (262144) -- the full capacity of the model will not be utilized
0.04.677.664 W sched_reserve: layer 5 is assigned to device CUDA0 but the Flash Attention tensor is assigned to device CPU (usually due to missing support)
0.04.677.667 W sched_reserve: Flash Attention was auto, set to disabled
0.06.828.575 I diffusion_params: steps=128 schedule=0 algorithm=4 temperature=0.800 eps=0.001000 mask_token=4
0.06.828.825 I diffusion_eb: max_steps=48 t=[0.400,0.800] entropy_bound=0.1000 stability=1 confidence=0.0050 kv_cache=on gpu_sampling=on sample_reduce=on
0.06.829.987 W init: embeddings required but some input tokens were not marked as outputs -> overriding
0.07.297.536 I
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