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Aggressive Quantization: How Low Can You Go?

Aggressive Quantization: How Low Can You Go?

Decoding Distillation Scaling Laws : Compute‑Optimal Teacher–Student Training

February 19, 2025

Decoding Distillation Scaling Laws : Compute‑Optimal Teacher–Student Training

Scaling the Wall: A Deep Dive into Best‑of‑N Jailbreaking

December 23, 2024

Scaling the Wall: A Deep Dive into Best‑of‑N Jailbreaking

Go Zero‑Shot: Faster & More Reproducible LLM Benchmarking

October 31, 2024

Go Zero‑Shot: Faster & More Reproducible LLM Benchmarking

Fine-Tuning SmolLM on a Single GPU

August 18, 2024

Fine-Tuning SmolLM on a Single GPU

Evaluating the Evaluators: A Comprehensive Guide to LLM Benchmarks and Assessment Frameworks

August 12, 2024

Evaluating the Evaluators: A Comprehensive Guide to LLM Benchmarks and Assessment Frameworks

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Recent Posts

Kimi K2: Engineering a Trillion‑Parameter Sparse MoE for Practical Agentic Intelligence
KV Cache Steering: A One‑Shot Route to Reasoning in Small LLMs
RLPR — Scaling Reinforcement Learning for LLM Reasoning Beyond Verifiers
Text‑to‑LoRA: Zero‑Friction Adaptation for LLMs
Magistral – Scaling Reasoning with Efficient GRPO Training

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