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inference-optimization/ctest-Qwen3-8B-speculator.eagle3-fp8ablation-fp8
ctest-Qwen3-8B-speculator.eagle3-fp8ablation-fp8 is a machine learning model from inference-optimization. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Test checkpoint — not a production release. Trained to validate the FP8-quantized hidden-states transfer backend added in vllm-project/speculators1028 (draft, reviving 491).
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From the Hugging Face model README
Test checkpoint — not a production release. Trained to validate the FP8-quantized hidden-states transfer backend added in vllm-project/speculators#1028 (draft, reviving #491).
Qwen/Qwen3-8Bnew FP8 backend, per-token float8_e4m3fn quantization)inference-optimization/Dataset-Qwen3-235B-InstructThis is one of a matched pair (...-fp8ablation-bf16 / ...-fp8ablation-fp8) trained
identically except for the hidden-states transfer precision, to isolate the effect of
FP8 quantization on speculator quality. See the sibling repo for the other precision.
loss_0_epoch: 1.064873full_acc_0_epoch: 0.694916cond_acc_0_epoch: 0.694916loss_1_epoch: 1.383549full_acc_1_epoch: 0.468324cond_acc_1_epoch: 0.673929loss_2_epoch: 1.583793full_acc_2_epoch: 0.312937cond_acc_2_epoch: 0.668200loss_epoch: 4.032217See acceptance.csv in this repo for the full per-subset guidellm breakdown (9 subset rows).
Full ablation writeup, all 6 checkpoints' results, exact commands, and code: see the results package referenced from PR #1028.