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granite-3.1-1b-a400m-instruct-reap-pruned-010 – AI Model by sasa2000 | AlphaNeural AI

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Granite 3.1 1B A400M Instruct REAP Pruned Checkpoint

This repository contains a REAP layerwise-pruned checkpoint of ibm-granite/granite-3.1-1b-a400m-instruct.

Base Model

Model: ibm-granite/granite-3.1-1b-a400m-instruct
Architecture: GraniteMoeForCausalLM
num_local_experts=32
num_experts_per_tok=8

Pruning Setup

Dataset: theblackcat102/evol-codealpaca-v1
model_max_length=2048
batches_per_category=128
batch_size=1
batch_group_size=8
renormalize_router_weights=true
truncate=false

Checkpoint

Requested ratio: 0.10
Experts pruned: 3
Experts retained: 29
Actual ratio: 9.38%
Local output dir: layerwise_reap-renorm_true-seed_42-0.09

Provenance

Created with Codex using GPT-5.5.
Generated for the REAP pruning experiment log and multilingual evaluation.