[Docs]: release/v1.21.6 doc update#1007
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Signed-off-by: Abukhoyer Shaik <abukhoye@qti.qualcomm.com>
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May 25, 2026
| # Efficient Transformer Library - 1.21.6 Release Notes | ||
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| Welcome to the official release of **Efficient Transformer Library v1.21.6**! This targeted release builds on the v1.21 line with multi-resolution Vision Language Model workflows, Qwen3-VL stability fixes, on-device sampling enablement, and compatibility updates for newer model and framework APIs. | ||
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Also add online serving support for Gemma4 through vLLM
| ## Key Features & Enhancements | ||
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| - **Multi-specialization vision compilation for Qwen VLMs** | ||
| - Qwen2.5-VL, Qwen3-VL Dense, and Qwen3-VL-MoE can compile multiple vision resolution and frame configurations in one pass. |
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WE should remove QWE3-VL MOE model from this list, as this model is not tested by SIT in this release. We should only keep the models which are vetted by SIT.
| - Qwen2.5-VL, Qwen3-VL Dense, and Qwen3-VL-MoE can compile multiple vision resolution and frame configurations in one pass. | ||
| - `height`, `width`, and `num_frames` can be supplied as lists when building specializations. | ||
| - Runtime generation can select the matching specialization through the multi-frame generation path. | ||
| - New example scripts are available for [Qwen2.5-VL](https://github.com/quic/efficient-transformers/tree/release/v1.21.6/examples/image_text_to_text/models/qwen2_5_vl), [Qwen3-VL Dense](https://github.com/quic/efficient-transformers/tree/release/v1.21.6/examples/image_text_to_text/models/qwen3vl), and [Qwen3-VL-MoE](https://github.com/quic/efficient-transformers/tree/release/v1.21.6/examples/image_text_to_text/models/qwen3_vl_moe). |
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remove qwen3-vl moe example script also. Only keep Qwen2.5VL and QWEN3-VL dense models
| - Adds regression coverage for large embedding and reranker model export flows. | ||
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| - **Qwen VLM runtime stability** | ||
| - Fixes RoPE handling for Qwen3-VL-MoE disaggregated mode. |
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| - **Gemma3 configuration compatibility** | ||
| - Updates Gemma3 cache handling for the newer `_sliding_window_pattern` config field. | ||
| - Preserves sliding-window behavior for Gemma3 models using updated Transformers configs. |
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add online serving support for Gemma3 through vLLM is added
| - Accepts `vision_feature_layer` and `vision_feature_select_strategy` forwarded by newer Transformers Llama4 APIs. | ||
| - Fixes ONNX export failures for Llama4 vision models while remaining backward compatible. | ||
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Add GPT OSS 120B with BS>1 and GPT OSS 20B BS>2 support is enabled
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This Pr is created for updating the release docs of the release branch
release/v1.21.6.