introduces 64gb optimized qwen3.8-27b webgpu model

Qwen-Qwen3.8-27B/webgpu/Qwen-Qwen3.8-27B_webgpu_int4.json

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+{
+    "input_model": {
+        "type": "HfModel",
+        "model_path": "Qwen/Qwen3.8-27B",
+        "load_kwargs": {
+            "torch_dtype": "float16"
+        }
+    },
+    "systems": {
+        "local_system": {
+            "type": "LocalSystem",
+            "accelerators": [
+                {
+                    "device": "gpu",
+                    "execution_providers": [
+                        "WebGpuExecutionProvider"
+                    ]
+                }
+            ]
+        }
+    },
+    "passes": {
+        "builder_int4_webgpu": {
+            "type": "ModelBuilder",
+            "precision": "int4",
+            "builder_config_version": 2,
+            "extra_options": {
+                "prune_lm_head": true,
+                "hf_token": false,
+                "exclude_mtp": true
+            },
+            "target_options": {
+                "quant_config": {
+                    "io_dtype": "fp16",
+                    "weights": {
+                        "type": "int4",
+                        "block_size": 32,
+                        "method": "default",
+                        "symmetric": true,
+                        "op_types": [
+                            "MatMul"
+                        ]
+                    },
+                    "format": {
+                        "use_qdq": false,
+                        "matmulnbits_weights_prepacked": 1
+                    }
+                },
+                "attention": {
+                    "implementation": "paged",
+                    "paged": {
+                        "block_size": 256
+                    }
+                },
+                "optimizations": {
+                    "fuse_mlp_gate_up": true
+                }
+            },
+            "runtime_config": {
+                "engine": {
+                    "dynamic_batching": {
+                        "block_size": 256,
+                        "num_blocks": 8,
+                        "max_batch_size": 1,
+                        "max_scheduled_tokens": 256
+                    }
+                },
+                "search": {
+                    "chunk_size": 256,
+                    "max_length": 262144
+                }
+            }
+        }
+    },
+    "target": "local_system",
+    "log_severity_level": 0,
+    "output_dir": "qwen_3.8_27b_webgpu_int4_paged",
+    "cache_dir": "cache_webgpu_int4_paged",
+    "no_artifacts": false
+}

Qwen-Qwen3.8-27B/webgpu/README.md

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+# Qwen3.8-27B INT4 (WebGPU)
+
+This recipe exports [`Qwen/Qwen3.8-27B`](https://huggingface.co/Qwen/Qwen3.8-27B)
+as an ONNX Runtime GenAI package for the WebGPU execution provider. It uses:
+
+- symmetric INT4 target-model weights with block size 32;
+- pruned language-model head;
+- paged attention with a 256-token block size; and
+- memory-selected runtime profile for GPUs with 40 to 60 GiB of device memory.
+
+## Export
+
+```bash
+olive run --config Qwen-Qwen3.8-27B_webgpu_int4.json
+```
+
+The exported package is written under `qwen_3.8_27b_webgpu_int4_paged/`.
+
+## Runtime profiles
+
+The generated package selects a runtime configuration from total GPU memory:
+
+| Total GPU memory | KV blocks | Maximum batch size | Scheduled/chunk tokens |
+|---|---:|---:|---:|
+| 40 to less than 60 GiB | 8 | 1 | 256 |
+
+The base configuration uses 8 KV blocks, batch size 1, a 64-token schedule,
+and chunk size 256. It is the fallback when the profile above is not eligible.

Qwen-Qwen3.8-27B/webgpu/info.yml

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+keywords:
+  - olive-ai
+  - int4
+  - paged-attention
+  - text-generation
+arch: qwen3_5_text
+recipes:
+  - name: Qwen3.8-27B_WebGPU_INT4_Paged
+    file: Qwen-Qwen3.8-27B_webgpu_int4.json
+    devices: gpu
+    eps: WebGpuExecutionProvider