Downloads · 30 days
17
5% of all-time downloads
Avifenesh/pearl-eagle31-scratch-200k-seq4096
pearl-eagle31-scratch-200k-seq4096 is a machine learning model from Avifenesh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Draft/speculator head trained from scratch for pearl-ai/Llama-3.1-8B-Instruct-pearl.
Downloads · 30 days
17
5% of all-time downloads
All-time downloads
315
Public
Parameters
950M
1.9 GB on disk
Likes
1
Public
Click a slice to open those files.
.safetensors1.9 GB · 100%
How the weights are stored.
BF16950M · 100%
From the Hugging Face model README
Draft/speculator head trained from scratch for pearl-ai/Llama-3.1-8B-Instruct-pearl.
eagle3--norm-before-residual
--norm-before-fc
--draft-vocab-size 32000
--epochs 5
--lr 1e-4
--total-seq-len 4096
Final checkpoint source: /persist/pearl_eagle31_train_200k_seq4096/checkpoints/checkpoints_eagle31_scratch/checkpoint_best
Stable old/materialized-B Pearl path, full requested matrix:
K = 2,3,4,5,6
C = 1,4,8,16,32,64
t ~= 50,180,350,700,1400
Coverage: 30 K/C cells x 5 prompt buckets = 150 rows.
Best mean output throughput across prompt buckets: K=2, C=64, 1039.1 output tok/s.
See:
FULL_MATRIX_SUMMARY.mdsummary_compact.jsonfull_matrix_summary.jsonlbenchmark_raw/*/combined_summary.csvThe B-on-chip fused Pearl R128 path is not included in these final results. It was rebuilt as R128 128x128x128 stages=2 to fit H100 SMEM but still crashes requests with CUDA illegal instruction; stable results here use the old/materialized-B path.