Add P-EAGLE training support

configs/qwen3-8b-peagle.json

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+{
+  "architectures": [
+    "PEagleDraftModel"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 4,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936,
+  "draft_vocab_size": 32000
+}

examples/run_qwen3_8b_peagle_online.sh

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+#!/bin/bash
+
+SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
+ROOT_DIR=$(dirname $SCRIPT_DIR)
+# peagle.py is not in the installed specforge package yet; prefer the repo source
+export PYTHONPATH=$ROOT_DIR:${PYTHONPATH:-}
+export TORCHINDUCTOR_CACHE_DIR=$ROOT_DIR/cache/compiled_kernels
+
+# support tp8 train P-EAGLE for Qwen3-4B/8B/32B up to tp_size = 8
+NUM_GPUS=${1:-1}
+TP_SIZE=${2:-1}
+BUILD_DATASET_NUM_PROC=${BUILD_DATASET_NUM_PROC:-32}
+
+torchrun \
+    --standalone \
+    --nproc_per_node $NUM_GPUS \
+    $ROOT_DIR/scripts/train_peagle.py \
+    --target-model-path Qwen/Qwen3-8B \
+    --draft-model-config $ROOT_DIR/configs/qwen3-8b-peagle.json \
+    --train-data-path $ROOT_DIR/cache/dataset/perfectblend-qwen3-8b-regen.jsonl \
+    --build-dataset-num-proc $BUILD_DATASET_NUM_PROC \
+    --output-dir $ROOT_DIR/outputs/peagle_qwen3_8b \
+    --num-epochs 20 \
+    --batch-size 1 \
+    --learning-rate 1e-4 \
+    --max-length 4096 \
+    --warmup-ratio 0.0025 \
+    --max-grad-norm 1 \
+    --chat-template qwen \
+    --cache-dir $ROOT_DIR/cache \
+    --tp-size $TP_SIZE \
+    --num-depths 5 \
+    --down-sample-ratio 0.8 \
+    --down-sample-ratio-min 0.2 \
+    --num-draft-layers 4 \
+    --no-norm-before-residual \
+    --target-model-backend sglang \
+    --save-interval 50000 \
+    --eval-interval 50000 \
+    --log-interval 50 \
+    --report-to wandb \
+    --dist-timeout 120