Add Qwen-3 LLM recipes

[kunal-vaishnavi]

Description

This PR adds recipes for all Qwen-3 LLMs on the CPU EP, CUDA EP, and WebGPU EP.

Motivation and Context

The recipes were auto-generated with the following bash script.

#!/usr/bin/env bash
set -euo pipefail

# === Config ===
BASE_DIR="/path/to/olive-recipes"

MODELS=(
  "Qwen-Qwen3-0.6B"
  "Qwen-Qwen3-1.7B"
  "Qwen-Qwen3-4B"
  "Qwen-Qwen3-8B"
  "Qwen-Qwen3-14B"
  "Qwen-Qwen3-32B"
  "Qwen-Qwen3-4B-Instruct-2507"
  "Qwen-Qwen3-4B-Thinking-2507"
)

BACKENDS=("cpu" "cuda" "webgpu")

mkdir -p "$BASE_DIR"
cd "$BASE_DIR"

for model in "${MODELS[@]}"; do
  # Create EP subfolders
  mkdir -p "$model"/{cpu,cuda,webgpu}

  # Derive alias for model_path as Qwen/<alias>.
  # If the name starts with "Qwen-", strip that prefix; otherwise use the whole name.
  alias_part="$model"
  if [[ "$model" == Qwen-* ]]; then
    alias_part="${model#Qwen-}"
  fi
  MODEL_ID="Qwen/${alias_part}"

  # === arch is always qwen3 ===
  ARCH_VALUE="qwen3"

  # === Generate LICENSE once at the model root ===
  license_path="$BASE_DIR/$model/LICENSE"
  if [[ ! -f "$license_path" ]]; then
    # Single-quoted heredoc to write content verbatim.
    cat > "$license_path" <<'EOFLIC'
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EOFLIC
  fi

  # === Per-backend outputs (README + JSON + info.yaml) ===
  for backend in "${BACKENDS[@]}"; do
    dir="$BASE_DIR/$model/$backend"

    case "$backend" in
      cpu)
        EP_NAME="CPU EP"
        PRECISION="INT4 + INT8 mixed precision by default"
        ORT_PKG="onnxruntime-genai (CPU build)"
        CONFIG_FILE="${model}_cpu_int4_int8_kquant_mixed.json"
        RUN_NOTE="- Runs purely on CPU; no GPU required."
        EXTRA_SETUP="- Optional: Use INT4-only quantization recipes to improve throughput on CPU."
        JSON_DEVICE="cpu"
        JSON_EP='["CPUExecutionProvider"]'
        JSON_PRECISION="int4"
        JSON_ALGO="k_quant_mixed"
        JSON_BLOCK_SIZE="128"
        ;;
      cuda)
        EP_NAME="CUDA EP"
        PRECISION="INT4 + INT8 mixed precision by default"
        ORT_PKG="onnxruntime-genai-cuda (CUDA build) with compatible CUDA/cuDNN versions"
        CONFIG_FILE="${model}_cuda_int4_int8_kquant_mixed.json"
        RUN_NOTE="- Requires an NVIDIA GPU and matching CUDA drivers/toolkit."
        EXTRA_SETUP="- Ensure CUDA and cuDNN versions are compatible with your onnxruntime-genai package."
        JSON_DEVICE="gpu"
        JSON_EP='["CUDAExecutionProvider"]'
        JSON_PRECISION="int4"
        JSON_ALGO="k_quant_mixed"
        JSON_BLOCK_SIZE="128"
        ;;
      webgpu)
        EP_NAME="WebGPU EP"
        PRECISION="INT4 + INT8 mixed precision by default"
        ORT_PKG="onnxruntime-webgpu and onnxruntime-genai"
        CONFIG_FILE="${model}_webgpu_int4_int8_kquant_mixed.json"
        RUN_NOTE="- Runs in a WebGPU-capable environment."
        EXTRA_SETUP="- Ensure onnxruntime-genai is installed with the --no-deps flag. Otherwise, it will install the CPU build of ONNX Runtime and override your WebGPU build."
        JSON_DEVICE="gpu"
        JSON_EP='["WebGpuExecutionProvider"]'
        JSON_PRECISION="int4"
        JSON_ALGO="k_quant_mixed"
        JSON_BLOCK_SIZE="32"
        ;;
      *)
        echo "Unknown backend: $backend" >&2
        exit 1
        ;;
    esac

    BACKEND_TITLE=$(echo "$backend" | tr '[:lower:]' '[:upper:]')

    # README.md per EP
    cat > "$dir/README.md" <<EOF
# ${model} — ${BACKEND_TITLE} optimization

This folder contains Olive recipes for optimizing ${model} targeting the ${EP_NAME}.

## What this folder is for

- Execution Provider: ${EP_NAME}
- Typical precision: ${PRECISION}
- Example recipe filename: ${CONFIG_FILE}

## Setup

1) Install Olive (version compatible with your repo).
2) Install the appropriate runtime package for this backend:
   - ${ORT_PKG}
3) Run Olive to build/optimize the model
   - olive run --config ${CONFIG_FILE}

Additional notes:
${EXTRA_SETUP}
${RUN_NOTE}

---

This README was auto-generated for the ${BACKEND_TITLE} EP of ${model}.
EOF

    # JSON per EP
    cat > "$dir/${CONFIG_FILE}" <<EOFJSON
{
  "input_model": {
    "type": "HfModel",
    "model_path": "${MODEL_ID}",
    "task": "text-generation"
  },
  "systems": {
    "local_system": {
      "type": "LocalSystem",
      "accelerators": [
        { "device": "${JSON_DEVICE}", "execution_providers": ${JSON_EP} }
      ]
    }
  },
  "engine": { "target": "local_system" },
  "passes": {
    "builder": {
      "type": "ModelBuilder",
      "precision": "${JSON_PRECISION}",
      "extra_options": { "int4_algo_config": "${JSON_ALGO}", "int4_block_size": "${JSON_BLOCK_SIZE}" }
    }
  }
}
EOFJSON

    # === info.yaml per EP (arch fixed to qwen3) ===
    EP_FOR_YAML=$(echo "${JSON_EP}" | sed -E 's/^\[\s*"([^"]+)".*$/\1/')
    RECIPE_NAME="${CONFIG_FILE%.json}"

    cat > "$dir/info.yaml" <<EOFYAML
arch: qwen3
recipes:
  - name: ${RECIPE_NAME}
    file: ${CONFIG_FILE}
    devices: ${JSON_DEVICE}
    eps: ${EP_FOR_YAML}
EOFYAML

  done
done

echo "All model directories with EP subfolders created. README.md, JSON, and info.yaml in each EP folder; LICENSE at each model root."

[Copilot]

Pull request overview

This PR adds Olive optimization recipes and per-model licensing for the Qwen-3 LLM family across CPU, CUDA, and WebGPU execution providers.

Changes:

• Added CPU, CUDA, and WebGPU Olive JSON recipes for Qwen-Qwen3-{0.6B, 1.7B, 4B, 4B-Instruct-2507, 4B-Thinking-2507, 8B, 14B, 32B}.
• Added per-backend README.md files explaining setup and usage for each model/backend combination.
• Added Apache 2.0 LICENSE files at the root of each Qwen-Qwen3-* model directory.

Reviewed changes

Copilot reviewed 56 out of 56 changed files in this pull request and generated 8 comments.

Show a summary per file

File	Description
Qwen-Qwen3-8B/webgpu/README.md	WebGPU README for Qwen-Qwen3-8B Olive recipes and usage.
Qwen-Qwen3-8B/webgpu/Qwen-Qwen3-8B_webgpu_int4_default.json	WebGPU INT4 Olive recipe for Qwen-Qwen3-8B.
Qwen-Qwen3-8B/cuda/README.md	CUDA README for Qwen-Qwen3-8B Olive recipes and usage.
Qwen-Qwen3-8B/cuda/Qwen-Qwen3-8B_cuda_int4_kquant_last.json	CUDA INT4 k_quant_last Olive recipe for Qwen-Qwen3-8B.
Qwen-Qwen3-8B/cpu/README.md	CPU README for Qwen-Qwen3-8B Olive recipes and usage.
Qwen-Qwen3-8B/cpu/Qwen-Qwen3-8B_cpu_int4_int8_kquant_mixed.json	CPU INT4/INT8 mixed k_quant_mixed Olive recipe for Qwen-Qwen3-8B.
Qwen-Qwen3-8B/LICENSE	Apache 2.0 license for Qwen-Qwen3-8B assets.
Qwen-Qwen3-4B/webgpu/README.md	WebGPU README for Qwen-Qwen3-4B Olive recipes and usage.
Qwen-Qwen3-4B/webgpu/Qwen-Qwen3-4B_webgpu_int4_default.json	WebGPU INT4 Olive recipe for Qwen-Qwen3-4B.
Qwen-Qwen3-4B/cuda/README.md	CUDA README for Qwen-Qwen3-4B Olive recipes and usage.
Qwen-Qwen3-4B/cuda/Qwen-Qwen3-4B_cuda_int4_kquant_last.json	CUDA INT4 k_quant_last Olive recipe for Qwen-Qwen3-4B.
Qwen-Qwen3-4B/cpu/README.md	CPU README for Qwen-Qwen3-4B Olive recipes and usage.
Qwen-Qwen3-4B/cpu/Qwen-Qwen3-4B_cpu_int4_int8_kquant_mixed.json	CPU INT4/INT8 mixed k_quant_mixed Olive recipe for Qwen-Qwen3-4B.
Qwen-Qwen3-4B/LICENSE	Apache 2.0 license for Qwen-Qwen3-4B assets.
Qwen-Qwen3-4B-Thinking-2507/webgpu/README.md	WebGPU README for Qwen-Qwen3-4B-Thinking-2507 Olive recipes and usage.
Qwen-Qwen3-4B-Thinking-2507/webgpu/Qwen-Qwen3-4B-Thinking-2507_webgpu_int4_default.json	WebGPU INT4 Olive recipe for Qwen-Qwen3-4B-Thinking-2507.
Qwen-Qwen3-4B-Thinking-2507/cuda/README.md	CUDA README for Qwen-Qwen3-4B-Thinking-2507 Olive recipes and usage.
Qwen-Qwen3-4B-Thinking-2507/cuda/Qwen-Qwen3-4B-Thinking-2507_cuda_int4_kquant_last.json	CUDA INT4 k_quant_last Olive recipe for Qwen-Qwen3-4B-Thinking-2507.
Qwen-Qwen3-4B-Thinking-2507/cpu/README.md	CPU README for Qwen-Qwen3-4B-Thinking-2507 Olive recipes and usage.
Qwen-Qwen3-4B-Thinking-2507/cpu/Qwen-Qwen3-4B-Thinking-2507_cpu_int4_int8_kquant_mixed.json	CPU INT4/INT8 mixed k_quant_mixed Olive recipe for Qwen-Qwen3-4B-Thinking-2507.
Qwen-Qwen3-4B-Thinking-2507/LICENSE	Apache 2.0 license for Qwen-Qwen3-4B-Thinking-2507 assets.
Qwen-Qwen3-4B-Instruct-2507/webgpu/README.md	WebGPU README for Qwen-Qwen3-4B-Instruct-2507 Olive recipes and usage.
Qwen-Qwen3-4B-Instruct-2507/webgpu/Qwen-Qwen3-4B-Instruct-2507_webgpu_int4_default.json	WebGPU INT4 Olive recipe for Qwen-Qwen3-4B-Instruct-2507.
Qwen-Qwen3-4B-Instruct-2507/cuda/README.md	CUDA README for Qwen-Qwen3-4B-Instruct-2507 Olive recipes and usage.
Qwen-Qwen3-4B-Instruct-2507/cuda/Qwen-Qwen3-4B-Instruct-2507_cuda_int4_kquant_last.json	CUDA INT4 k_quant_last Olive recipe for Qwen-Qwen3-4B-Instruct-2507.
Qwen-Qwen3-4B-Instruct-2507/cpu/README.md	CPU README for Qwen-Qwen3-4B-Instruct-2507 Olive recipes and usage.
Qwen-Qwen3-4B-Instruct-2507/cpu/Qwen-Qwen3-4B-Instruct-2507_cpu_int4_int8_kquant_mixed.json	CPU INT4/INT8 mixed k_quant_mixed Olive recipe for Qwen-Qwen3-4B-Instruct-2507.
Qwen-Qwen3-4B-Instruct-2507/LICENSE	Apache 2.0 license for Qwen-Qwen3-4B-Instruct-2507 assets.
Qwen-Qwen3-32B/webgpu/README.md	WebGPU README for Qwen-Qwen3-32B Olive recipes and usage.
Qwen-Qwen3-32B/webgpu/Qwen-Qwen3-32B_webgpu_int4_default.json	WebGPU INT4 Olive recipe for Qwen-Qwen3-32B.
Qwen-Qwen3-32B/cuda/README.md	CUDA README for Qwen-Qwen3-32B Olive recipes and usage.
Qwen-Qwen3-32B/cuda/Qwen-Qwen3-32B_cuda_int4_kquant_last.json	CUDA INT4 k_quant_last Olive recipe for Qwen-Qwen3-32B.
Qwen-Qwen3-32B/cpu/README.md	CPU README for Qwen-Qwen3-32B Olive recipes and usage.
Qwen-Qwen3-32B/cpu/Qwen-Qwen3-32B_cpu_int4_int8_kquant_mixed.json	CPU INT4/INT8 mixed k_quant_mixed Olive recipe for Qwen-Qwen3-32B.
Qwen-Qwen3-32B/LICENSE	Apache 2.0 license for Qwen-Qwen3-32B assets.
Qwen-Qwen3-14B/webgpu/README.md	WebGPU README for Qwen-Qwen3-14B Olive recipes and usage.
Qwen-Qwen3-14B/webgpu/Qwen-Qwen3-14B_webgpu_int4_default.json	WebGPU INT4 Olive recipe for Qwen-Qwen3-14B.
Qwen-Qwen3-14B/cuda/README.md	CUDA README for Qwen-Qwen3-14B Olive recipes and usage.
Qwen-Qwen3-14B/cuda/Qwen-Qwen3-14B_cuda_int4_kquant_last.json	CUDA INT4 k_quant_last Olive recipe for Qwen-Qwen3-14B.
Qwen-Qwen3-14B/cpu/README.md	CPU README for Qwen-Qwen3-14B Olive recipes and usage.
Qwen-Qwen3-14B/cpu/Qwen-Qwen3-14B_cpu_int4_int8_kquant_mixed.json	CPU INT4/INT8 mixed k_quant_mixed Olive recipe for Qwen-Qwen3-14B.
Qwen-Qwen3-14B/LICENSE	Apache 2.0 license for Qwen-Qwen3-14B assets.
Qwen-Qwen3-1.7B/webgpu/README.md	WebGPU README for Qwen-Qwen3-1.7B Olive recipes and usage.
Qwen-Qwen3-1.7B/webgpu/Qwen-Qwen3-1.7B_webgpu_int4_default.json	WebGPU INT4 Olive recipe for Qwen-Qwen3-1.7B.
Qwen-Qwen3-1.7B/cuda/README.md	CUDA README for Qwen-Qwen3-1.7B Olive recipes and usage.
Qwen-Qwen3-1.7B/cuda/Qwen-Qwen3-1.7B_cuda_int4_kquant_last.json	CUDA INT4 k_quant_last Olive recipe for Qwen-Qwen3-1.7B.
Qwen-Qwen3-1.7B/cpu/README.md	CPU README for Qwen-Qwen3-1.7B Olive recipes and usage.
Qwen-Qwen3-1.7B/cpu/Qwen-Qwen3-1.7B_cpu_int4_int8_kquant_mixed.json	CPU INT4/INT8 mixed k_quant_mixed Olive recipe for Qwen-Qwen3-1.7B.
Qwen-Qwen3-1.7B/LICENSE	Apache 2.0 license for Qwen-Qwen3-1.7B assets.
Qwen-Qwen3-0.6B/webgpu/README.md	WebGPU README for Qwen-Qwen3-0.6B Olive recipes and usage.
Qwen-Qwen3-0.6B/webgpu/Qwen-Qwen3-0.6B_webgpu_int4_default.json	WebGPU INT4 Olive recipe for Qwen-Qwen3-0.6B.
Qwen-Qwen3-0.6B/cuda/README.md	CUDA README for Qwen-Qwen3-0.6B Olive recipes and usage.
Qwen-Qwen3-0.6B/cuda/Qwen-Qwen3-0.6B_cuda_int4_kquant_last.json	CUDA INT4 k_quant_last Olive recipe for Qwen-Qwen3-0.6B.
Qwen-Qwen3-0.6B/cpu/README.md	CPU README for Qwen-Qwen3-0.6B Olive recipes and usage.
Qwen-Qwen3-0.6B/cpu/Qwen-Qwen3-0.6B_cpu_int4_int8_kquant_mixed.json	CPU INT4/INT8 mixed k_quant_mixed Olive recipe for Qwen-Qwen3-0.6B.
Qwen-Qwen3-0.6B/LICENSE	Apache 2.0 license for Qwen-Qwen3-0.6B assets.

---

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[devang-ml]

It is worth adding other quantization technique such as kld_gradient where we are getting better quality.