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inference-optimization/ctest-Qwen3-8B-speculator.dspark-fp8ablation-fp8
ctest-Qwen3-8B-speculator.dspark-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.
confidence_loss_epoch: 0.253213confidence_abs_error_epoch: 0.224864confidence_pred_mean_epoch: 0.495482confidence_cumprod_bias_epoch: 0.019816loss_epoch: 0.584251ce_loss_epoch: 1.195752tv_loss_epoch: 0.234959accept_rate_epoch: 0.455243accept_len_epoch: 2.868270full_acc_epoch: 0.481714position_0_acc_epoch: 0.696390position_1_acc_epoch: 0.592052position_2_acc_epoch: 0.524082position_3_acc_epoch: 0.470779position_4_acc_epoch: 0.433401position_5_acc_epoch: 0.401091position_6_acc_epoch: 0.376266position_7_acc_epoch: 0.358048See 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.