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.
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
.
Runs of AngelSlim Hy3-DFly-Block8-Think-High on huggingface.co
23
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-1
30-day runs
More Information About Hy3-DFly-Block8-Think-High huggingface.co Model
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