FusionBrainLab / LLM-MicroscopeLinks
☆70Updated 11 months ago
Alternatives and similar repositories for LLM-Microscope
Users that are interested in LLM-Microscope are comparing it to the libraries listed below
Sorting:
- Official implementation of the paper "Linear Transformers with Learnable Kernel Functions are Better In-Context Models"☆162Updated 6 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆127Updated 11 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆81Updated 9 months ago
- ☆54Updated 5 months ago
- The evaluation framework for training-free sparse attention in LLMs☆86Updated last month
- ☆83Updated 11 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆61Updated 9 months ago
- ☆81Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆149Updated last month
- Esoteric Language Models☆89Updated last week
- ☆30Updated last year
- Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity (ACL 2025, oral)☆23Updated last month
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆91Updated 8 months ago
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆41Updated 9 months ago
- [ICML 24 NGSM workshop] Associative Recurrent Memory Transformer implementation and scripts for training and evaluating☆42Updated last week
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆130Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated 11 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆127Updated 8 months ago
- Implementations of attention with the softpick function, naive and FlashAttention-2☆81Updated 3 months ago
- Language models scale reliably with over-training and on downstream tasks☆97Updated last year
- Work in progress.☆70Updated last month
- σ-GPT: A New Approach to Autoregressive Models☆67Updated 11 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆98Updated 10 months ago
- ☆83Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 7 months ago
- ☆68Updated last year
- Understand and test language model architectures on synthetic tasks.☆221Updated 3 weeks ago
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆55Updated 4 months ago
- Using FlexAttention to compute attention with different masking patterns☆44Updated 10 months ago
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆238Updated 2 months ago