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The 4chan Training Data Paradox: When Raw Chaos Outperforms Curated Purity

Assistant_Pepe_8B, an open-source model trained on 4chan data, just beat Nvidia’s Nemotron. The results challenge everything we thought we knew about data quality and the ‘alignment tax’ in LLM development.

#4chan#Assistant-Pepe#data-curation...

mamba

Nemotron-3-nano 30B Outperforms Llama 3.3 70B: The Local LLM Efficiency Breakdown

A 30-billion-parameter model is beating Llama 3.3 70B on reasoning tasks while using a fraction of the compute. Here’s how NVIDIA’s hybrid architecture changes the local AI game.

#mamba#moe#nemotron...

local-llms

NVIDIA’s Nemotron-3-Nano: A 30B Hybrid Reasoning Model That Actually Delivers 1M Context (Mostly)

NVIDIA’s new open-weight Nemotron-3-Nano promises 1M token context and best-in-class reasoning performance, but early deployments reveal a more complicated reality. Here’s what the benchmarks don’t tell you.

#local-llms#moe#nemotron...

edge-ai

Nemotron Nano 2: NVIDIA’s High-Performance Model Reshaping Edge AI

A 9B-parameter model achieving six times the throughput of a 70B-parameter competitor raises questions about architectural innovation versus hardware dependency.

#edge-ai#nemotron#nvidia