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URL: https://huggingface.co/RedHatAI/Qwen3-235B-A22B-speculator.eagle3

⇱ RedHatAI/Qwen3-235B-A22B-speculator.eagle3 · Hugging Face


Qwen3-235B-A22B-speculator

Model Overview

  • Verifier: Qwen/Qwen3-235B-A22B
  • Speculative Decoding Algorithm: EAGLE-3
  • Model Architecture: Eagle3Speculator
  • Release Date: 01/15/2026
  • Version: 1.0
  • Model Developers: RedHat

This is a speculator model designed for use with Qwen/Qwen3-235B-A22B, based on the EAGLE-3 speculative decoding algorithm. It was trained using the speculators library on a combination of the Magpie-Align/Magpie-Llama-3.1-Pro-300K-Filtered dataset and the train_sft split of the HuggingFaceH4/ultrachat_200k dataset. This model should be used with the Qwen/Qwen3-235B-A22B chat template, specifically through the /chat/completions endpoint. It was trained with thinking model on.

Use with vLLM

vllm serve Qwen/Qwen3-235B-A22B \
 -tp 8 \
 --speculative-config '{
 "model": "RedHatAI/Qwen3-235B-A22B-speculator.eagle3",
 "num_speculative_tokens": 3,
 "method": "eagle3"
 }'

Evaluations

Use cases

Use Case Dataset Number of Samples
Coding HumanEval 168
Math Reasoning gsm8k 80
Text Summarization CNN/Daily Mail 80

Acceptance lengths

Use Case k=1 k=2 k=3 k=4 k=5
Coding 1.77 2.19 2.51 2.72 2.83
Math Reasoning 1.77 2.33 2.73 3.03 3.24
Text Summarization 1.63 2.00 2.22 2.34 2.40
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