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huluhuluu/qwen3-1.7b-eagle3-k2-sw128-sharegpt-epoch7-step175000

sourceHugging Faceotherupdated 2mo agoView on Hugging Face

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Model Card

Qwen3 1.7B EAGLE3 K2 SW128 ShareGPT

This repository contains a SpecForge EAGLE3 draft-model checkpoint for use with Qwen/Qwen3-1.7B. It is a draft model for speculative decoding, not a standalone target language model.

Checkpoint

Field	Value
Source run	`qwen3-1.7b-eagle3-k2-sw128-sharegpt`
Checkpoint	`epoch_7_step_175000`
Epoch	`7`
Global step	`175000`
Files	`config.json`, `model.safetensors`, `training_state.pt` (when present)

Training Parameters

Parameter	Value
Base model	`Qwen/Qwen3-1.7B`
Method	`SpecForge EAGLE3 online training`
Training data	`sharegpt_train.jsonl`
Learning rate	`0.0001`
Batch size	`1`
Target batch size	`2`
Epochs configured	`10`
Max length	`2048`
Warmup ratio	`0.015`
Max grad norm	`0.5`
TTT length	`7`
Draft layers	`2`
Draft sliding window	`128`
Save interval	`5000`
Eval interval	`5000`
Seed	`0`
TP / DP size	`2 / 2`
Attention backend	`sdpa`
Target model backend	`sglang`
SGLang attention backend	`flashinfer`
Dataset build workers	`64`

Draft Model Configuration

Field	Value
Architecture	`LlamaForCausalLMEagle3`
dtype	`bfloat16`
Hidden size	`2048`
Intermediate size	`6144`
Draft layers	`2`
Attention heads	`16`
KV heads	`8`
Draft vocab size	`32000`
Vocab size	`151936`
Max position embeddings	`40960`
Sliding window	`128`
Max window layers	`2`
Future hidden	`Not recorded`

Notes

—This is the highest-step local checkpoint available when this repository was published.
—The checkpoint is intended to be loaded by SpecForge/EAGLE3-compatible code.
—training_state.pt is included when available for provenance and training-state inspection.
—No benchmark claim is made in this card.