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Add seven TurinTech Artemis GGUF builds of Gemma 4 E2B and E4B, each with the repo's F16 vision projector, pinned by revision and SHA-256. Assisted-by: Claude:claude-opus-5-5 Signed-off-by: Dorian Magasic <dorian.magasic@turintech.ai>
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Description
Adds TurinTech's Artemis GGUF builds of Gemma 4 E2B and E4B to the model library, one entry per weight file.
gemma-4-e2b-it-artemis-q3-k-ldeclaresgemma-4-e2b-it-artemis-q3-k-m,gemma-4-e2b-it-artemis-iq3-xxsandgemma-4-e2b-it-artemis-iq2-mas variants.gemma-4-e4b-it-artemis-q4-0declaresgemma-4-e4b-it-artemis-iq3-mandgemma-4-e4b-it-artemis-q3-k-mas variants.In each repo the declaring build is the file the model card marks as its default. The other builds declare no variants of their own.
Every entry also installs the repo's F16 vision projector,
mmproj-F16.gguf, for image input. All builds of one repo use the same projector path,llama-cpp/mmproj/<repo>/mmproj-F16.gguf, so they share one download. The entries usevirtual.yamlwith the chat template embedded in the GGUF (use_jinja:true,use_tokenizer_template: true), an 8192-token context andknown_usecaseschat and vision. The rest ofoverridescopies the existinggemma-4-e4b-itentry, includingfunction.automatic_tool_parsing_fallback: true. The first URL of each entry is the base model the card names, Google's QAT checkpoint.Notes for Reviewers
qwen3.5-0.8b-artemis-*entries from the same publisher, added in feat(gallery): add Qwen3.5 Artemis 0.8B variants #12707 and landed on master in 754800b, plus the F16 vision projector and full quant names.qwen3.5-0.8b-artemis-q5andqwen3.5-0.8b-artemis-q4entries and feat(gallery): add Qwen3.5 Artemis 2B, 4B and 9B variants #12928 directly after them, so the two apply independently.13a1c266e43df6e184779f8bc446ca6c66dca15231d9aa277c62a7036cde4e9aaa3c2d330e7775cfx-linked-etagheader at the pinned revision and the checksum table on each model card.gemma4for both repos.gallery/index.yamlwas regenerated withgo run ./scripts/models/cmd/modelcatalog --library gallery/models/index.yaml --out gallery/index.yaml.go test ./scripts/models/...go test ./core/gallery -run 'TestModelLibrary|TestRealModelLibraryHasTheLibraryShape|TestGeneratedGalleryLoadsWithTheSameEntries|TestCheckedInGalleryIsTheGeneratedCopy|TestDecodeModelIndex' -count=1go test ./core/gallery -run TestGallery -ginkgo.focus='gallery/index.yaml|gallery variant lint helpers' -count=1git diff --check5e08aa49with the LocalAI v4.12.1 release binary on CPU (cpu-llama-cppbackend), serving a local copy of this branch'sgallery/index.yamlas a file gallery. Each declaring entry was installed withPOST /models/apply, then asked "What is the capital of France? Answer in one word." and, with the TurinTech logo as a data URL, "What text appears in this image?" (max_tokens3000):gemma-4-e2b-it-artemis-q3-k-linstalled its own build,gemma-4-E2B-it-Artemis-Q3_K_L.gguf. Text:Paris. Image:The text that appears in the image is: **TURINTECH**(line break removed).gemma-4-e4b-it-artemis-q4-0installed its own build,gemma-4-E4B-it-Artemis-Q4_0.gguf. Text:Paris. Image:The text in the image is **TURINTECH**.reasoningfield: both image replies and the E2B text reply. The E4B text reply had none and used 2 completion tokens.mtp-gemma-4-E2B-it-Artemis.ggufandmtp-gemma-4-E4B-it-Artemis.gguf, also underMTP/). These entries leave it unconfigured, with nodraft_model, nospec_typeoption and nomtptag, so they rank as plain llama.cpp builds.Sources:
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