AngelSlim / Hy3-DFly-Block8-Think-High

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Total runs: 23
24-hour runs: 0
7-day runs: 0
30-day runs: -1
Model's Last Updated: July 29 2026

Introduction of Hy3-DFly-Block8-Think-High

Model Details of Hy3-DFly-Block8-Think-High

AngelSlim

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Hy3-A21B DFly High-Thinking Drafter

Model Summary

This repository contains a DFly drafter model trained for speculative decoding with Hy3-A21B under the high-thinking inference setting. The model is trained with AngelSpec and is designed to propose candidate tokens that are verified by the Hy3-A21B target model.

This drafter is not a standalone chat model. It should be deployed with the matching Hy3-A21B target model and the corresponding high-thinking target-side inference mode.

  • Target model: Hy3-A21B
  • Drafter type: DFly
  • Inference mode: High-thinking
  • Training framework: AngelSpec
  • Recommended serving backend: vLLM speculative decoding
  • Recommended speculative tokens: 8
Training and Thinking-Mode Specialization

High-thinking and no-thinking decoding induce different hidden-state and acceptance distributions. As a result, a drafter trained for one thinking mode should not be assumed to transfer optimally to the other.

This checkpoint is the high-thinking DFly drafter : it is trained with high-thinking target-side data and should be evaluated and deployed with high-thinking prompts / target-side generation behavior. The matched high-thinking configuration is important for preserving acceptance length and speculative-decoding efficiency.

Evaluation: Accepted Length

The following table reports this model's mean accepted length on Hy3-A21B under the high-thinking setting at temperature 1 . The average is computed over the six displayed benchmarks.

Target Model Drafter Train Data Test Data Math500 GSM8K HumanEval MBPP LiveCodeBench MT-Bench Avg.
Hy3-A21B DFly High-think High-think 4.29 4.47 4.76 4.74 3.92 3.42 4.27

The high-thinking drafter is specialized for high-thinking inference. It is especially important for reasoning- and chat-oriented workloads where the target-side thinking mode changes the acceptance distribution.

Deployment

Set TARGET to the Hy3-A21B target model path or repository and DRAFT to the corresponding drafter checkpoint. The relevant inference code can be found in PR https://github.com/vllm-project/vllm/pull/50246 .

export TARGET="<path-or-hf-repo-to-hy3-a21b-target>"
export DRAFT="<path-or-hf-repo-to-hy3-dfly-high-thinking-drafter>"

vllm serve "$TARGET" \
  --tensor-parallel-size 8 \
  --speculative-config "{"method":"dspark", "model":"$DRAFT", "num_speculative_tokens":7}"
Technical Report

For more details, see the technical report:

AngelSpec: Towards Real-World High Performance Inference with Speculative Decoding
arXiv: https://arxiv.org/abs/2607.25852

Runs of AngelSlim Hy3-DFly-Block8-Think-High on huggingface.co

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Updated:July 21 2026