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AmanPriyanshu / Stratified-LLM-Subsets-100K-1M-Scale

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Stratified LLM Subsets delivers diverse training data at 100K-1M scales across pre-training (FineWeb-Edu, Proof-Pile-2), instruction-following (Tulu-3, Orca AgentInstruct), and reasoning distillation (Llama-Nemotron). Embedding-based k-means clustering ensures maximum diversity across 5 high-quality open datasets.

training diversity data deep-learning dataset pretrained-models reasoning training-data fine-tuning finetuning sft pre-training instruction-following llm llms instruction-tuning llm-training llm-datasets finetuning-llms llm-training-data
  • Updated Oct 4, 2025
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AmanPriyanshu / GPT-OSS-MoE-ExpertFingerprinting

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ExpertFingerprinting: Behavioral Pattern Analysis and Specialization Mapping of Experts in GPT-OSS-20B's Mixture-of-Experts Architecture

deep-learning model routing moe pruning gpt reasoning mixture-of-experts model-interpretability behavioral-analysis pruning-optimization model-observability llm reasoning-agent llm-evaluation reasoning-language-models expert-routing gpt-oss gpt-oss-120b gpt-oss-20b
  • Updated Aug 13, 2025
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