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04d6f66a9a
Gallery model diffusiongemma-26b-a4b-it (unsloth BF16 GGUF, sha256 verified against the HF LFS oid) with use_tokenizer_template and an honest experimental/throughput description. e2e: BACKEND_BINARY-mode specs boot the real gRPC backend with the tiny fixture model (templated chat + streaming); real-26B specs are separately env-gated. Adds an opt-in BACKEND_TEST_SEED knob so random-weight fixture models run the generic specs deterministically. Assisted-by: Claude Code (Fable 5) Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
28 lines
1.2 KiB
YAML
28 lines
1.2 KiB
YAML
config_file: |
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backend: dllm
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known_usecases:
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- chat
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parameters:
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# Forwarded to the engine as ctx_len, but the engine at the current
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# pin ignores it - the effective bound is the GGUF's trained context
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# (n_ctx_train, 262144 for this model). Kept for forward-compatibility
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# once the engine honors it. Note dllm generates by denoising whole
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# 256-token canvases, and until the prefix-KV cache lands (dllm P3)
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# EVERY denoise step recomputes the full prompt+canvas, so throughput
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# drops roughly linearly with context occupancy.
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context_size: 4096
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stopwords:
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- <turn|>
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# Templating AND output parsing (content/thought channels, tool calls)
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# are owned by the dllm backend's native gemma4 renderer/parser - NOT
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# llama.cpp's jinja autoparser, so no use_jinja option here.
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# Disabling LocalAI's grammar keeps its generated tool grammar from
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# overriding the backend's native tool-call pipeline (same reasoning as
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# qwen3.yaml / the ds4 importer).
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function:
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grammar:
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disable: true
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template:
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use_tokenizer_template: true
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name: diffusiongemma
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