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Qwen3-32B-speculator.eagle3
Model Overview
- Verifier: Qwen/Qwen3-32B
- Speculative Decoding Algorithm: EAGLE-3
- Model Architecture: Eagle3Speculator
- Release Date: 09/17/2025
- Version: 1.0
- Model Developers: RedHat
This is a speculator model designed for use with Qwen/Qwen3-32B, 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/Qwen3-32B chat template, specifically through the /chat/completions endpoint.
Use with vLLM
vllm serve Qwen/Qwen3-32B \
-tp 2 \
--speculative-config '{
"model": "RedHatAI/Qwen3-32B-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 | 1.67 | 2.06 | 2.29 | 2.39 | 2.47 | 2.50 | 2.53 |
| Math Reasoning | 1.73 | 2.21 | 2.49 | 2.69 | 2.80 | 2.83 | 3.08 |
| Text Summarization | 1.62 | 1.95 | 2.15 | 2.23 | 2.27 | 2.32 | 2.33 |
Performance benchmarking (2xA100)
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Safetensors
Model size
2B params
Tensor type
I64
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BF16 ·
BOOL ·
