feat(sdk): Mistral-Medium-3.5 (Mistral3) multimodal model support - #1604
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🧰 Additional context used📓 Path-based instructions (3)Verify core SDK API changes remain compatible with legacy aiconfigurator.sdk imports, generator inputs, profiler data flow, and documented examples.⚙️ CodeRabbit configuration file Files:
Check that tests cover the changed behavior rather than only the happy path.⚙️ CodeRabbit configuration file Files:
Prefer applicable inline comments.⚙️ CodeRabbit configuration file Files:
WalkthroughAdds Mistral Medium 3.5 128B support with Mistral3 routing, Pixtral vision parsing, gated ViT operations, model assembly, compatibility exports, and validation tests. ChangesMistral3 multimodal support
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: ⚪ Minimal · up to This change adds Mistral3 model configuration, routing, vision parsing, model assembly, exports, and tests. No concrete current-head merge-blocking risk remains. Poem
🚥 Pre-merge checks | ✅ 4✅ Passed checks (4 passed)
Full details: Description checkExplanation The description clearly explains the Mistral-Medium-3.5 multimodal support, implementation details, limitations, and validation results. It omits the template's explicit “Where should the reviewer start?” and “Related Issues” sections, but the required technical context is otherwise mostly complete. Comment |
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In `@aic-core/src/aiconfigurator_core/sdk/utils.py`:
- Line 947: Update the spatial_merge_size validation near
top_level_spatial_merge_size before calculating merger_dim: require a positive
integer while explicitly rejecting booleans, and reject invalid values before
applying the merge-squared calculation. Preserve the existing handling for
missing or otherwise unsupported configuration values.
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📒 Files selected for processing (9)
aic-core/src/aiconfigurator_core/model_configs/mistralai--Mistral-Medium-3.5-128B_config.jsonaic-core/src/aiconfigurator_core/sdk/common.pyaic-core/src/aiconfigurator_core/sdk/models/__init__.pyaic-core/src/aiconfigurator_core/sdk/models/blocks/vit.pyaic-core/src/aiconfigurator_core/sdk/models/mistral3.pyaic-core/src/aiconfigurator_core/sdk/utils.pysrc/aiconfigurator/sdk/models/mistral3.pytests/cross_package/test_import_contract.pytests/unit/sdk/models/test_mistral3.py
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📓 Path-based instructions (4)
Verify core SDK API changes remain compatible with legacy aiconfigurator.sdk imports, generator inputs, profiler data flow, and documented examples.
⚙️ CodeRabbit configuration file
Files:
aic-core/src/aiconfigurator_core/sdk/models/__init__.pyaic-core/src/aiconfigurator_core/sdk/models/blocks/vit.pyaic-core/src/aiconfigurator_core/sdk/models/mistral3.pyaic-core/src/aiconfigurator_core/sdk/common.pyaic-core/src/aiconfigurator_core/sdk/utils.py
Verify SDK API changes remain compatible with generator inputs, profiler data flow, and documented examples.
⚙️ CodeRabbit configuration file
Files:
src/aiconfigurator/sdk/models/mistral3.py
Check that tests cover the changed behavior rather than only the happy path.
⚙️ CodeRabbit configuration file
Files:
tests/cross_package/test_import_contract.pytests/unit/sdk/models/test_mistral3.py
Prefer applicable inline comments.
⚙️ CodeRabbit configuration file
Files:
src/aiconfigurator/sdk/models/mistral3.pyaic-core/src/aiconfigurator_core/sdk/models/__init__.pyaic-core/src/aiconfigurator_core/sdk/models/blocks/vit.pytests/cross_package/test_import_contract.pyaic-core/src/aiconfigurator_core/model_configs/mistralai--Mistral-Medium-3.5-128B_config.jsonaic-core/src/aiconfigurator_core/sdk/models/mistral3.pyaic-core/src/aiconfigurator_core/sdk/common.pytests/unit/sdk/models/test_mistral3.pyaic-core/src/aiconfigurator_core/sdk/utils.py
🔇 Additional comments (5)
aic-core/src/aiconfigurator_core/model_configs/mistralai--Mistral-Medium-3.5-128B_config.json (1)
1-76: LGTM!aic-core/src/aiconfigurator_core/sdk/models/blocks/vit.py (1)
21-21: LGTM!Also applies to: 112-119
src/aiconfigurator/sdk/models/mistral3.py (1)
4-8: LGTM!tests/cross_package/test_import_contract.py (1)
46-46: LGTM!aic-core/src/aiconfigurator_core/sdk/models/mistral3.py (1)
55-57: 🎯 Functional CorrectnessKeep this backend-neutral.
Mistral3Modelcorrectly builds encoder operations without a backend branch.BaseBackendruns them only for image workloads, while the generator explicitly renders TensorRT-LLM multimodal EPD artifacts. Text-only workers skip encoder execution.
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Reviewer note — the red checks here are pre-existing / repo-wide, not caused by this PR.
Everything this PR is responsible for is green (Ruff, DCO, copyright, codeowners, check-collector-data, parquet-diff, wheels, py3.11–3.13). The board should clear once #1605 and the main-side unit/parity fixes land and CI re-runs. |
Map Mistral3ForConditionalGeneration to a new MISTRAL3 family: a dense GQA text decoder on the LLAMA op graph plus a Pixtral vision encoder. - common.py: register MISTRAL3 family, architecture mapping, text_config flatten, and a gated_mlp flag on VisionEncoderConfig. - utils.py: parse the Pixtral vision_config into a VisionEncoderConfig, capturing the top-level spatial_merge_size before the text_config flatten and modeling the 3-GEMM multimodal projector. - blocks/vit.py: emit the SwiGLU gate projection (encoder_gate_gemm) when gated_mlp is set; unchanged for plain (Qwen3-VL) ViT FFNs. - models/mistral3.py: Mistral3Model(LLAMAModel) attaching the encoder ops. - Bundle the HF config for offline loading; add unit tests. Kept out of the default support matrix (RetiredSupportMatrixHFModels) because the Pixtral encoder (head_dim=104) has no collected encoder-attention perf data yet, so image-bearing evaluation is a deterministic unsupported path. Text-only estimation works today; the multimodal ops light up once the head_dim=104 encoder-attention data is collected. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Signed-off-by: Nathan Scott <nathans@redhat.com>
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Summary
Adds full multimodal modeling for Mistral-Medium-3.5-128B (
Mistral3ForConditionalGeneration): a dense GQA text decoder mapped onto the LLAMA op graph, plus the Pixtral vision encoder (ViT + SwiGLU FFN + 3-GEMM multimodal projector).Data half is #1603 (Pixtral head_dim=104 encoder-attention cases + h200 rows). This PR works standalone for text-only serving on every backend; image evaluation lights up on vLLM/SGLang once #1603's data is on main.
Changes (
aic-coreSDK)common.py: newMISTRAL3family + arch mapping;text_configflatten entry;gated_mlpflag onVisionEncoderConfig; model added toDefaultHFModels(and thus the default support matrix — text serving is viable on all backends).utils.py: parse the Pixtralvision_configinto aVisionEncoderConfig, capturing the top-levelspatial_merge_sizebefore thetext_configflatten drops it (raises if absent), and modeling the 3-GEMM projector (patch-merger → linear_1 → linear_2).blocks/vit.py: emit the SwiGLU gate projection (encoder_gate_gemm) whengated_mlpis set; unchanged for plain (Qwen3-VL) ViT FFNs.models/mistral3.py:Mistral3Model(LLAMAModel)attaching the encoder ops (+ legacy compat shim).Notes
modules_to_not_convert).Validation
encoder_latency≈40ms/ SGLang≈44msfolded into TTFT; trtllm correctly raises the unsupported vision path.🤖 Generated with Claude Code
Summary by CodeRabbit
New Features
Bug Fixes
Tests