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URL: https://huggingface.co/RedHatAI/Qwen3-14B-speculator.eagle3

⇱ RedHatAI/Qwen3-14B-speculator.eagle3 · Hugging Face


Qwen3-14B-speculator.eagle3

Model Overview

  • Verifier: Qwen/Qwen3-14B
  • Speculative Decoding Algorithm: EAGLE-3
  • Model Architecture: Eagle3Speculator
  • Release Date: 09/18/2025
  • Version: 1.0
  • Model Developers: RedHat

This is a speculator model designed for use with Qwen/Qwen3-14B, based on the EAGLE-3 speculative decoding algorithm. It was trained using the speculators library on a combination of the Aeala/ShareGPT_Vicuna_unfiltered and the train_sft split of HuggingFaceH4/ultrachat_200k datasets. This model should be used with the Qwen/Qwen3-14B chat template, specifically through the /chat/completions endpoint.

Use with vLLM

vllm serve Qwen/Qwen3-14B \
 -tp 1 \
 --speculative-config '{
 "model": "RedHatAI/Qwen3-14B-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 k=6 k=7
Coding 1.71 2.14 2.41 2.53 2.55 2.70 2.67
Math Reasoning 1.72 2.18 2.43 2.59 2.69 2.75 2.76
Text Summarization 1.60 1.90 2.06 2.14 2.17 2.19 2.21

Performance benchmarking (1xA100)

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