Jellyfish042 / uncheatable_evalLinks
Evaluating LLMs with Dynamic Data
☆111Updated 3 weeks ago
Alternatives and similar repositories for uncheatable_eval
Users that are interested in uncheatable_eval are comparing it to the libraries listed below
Sorting:
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆209Updated last year
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆157Updated 10 months ago
- Official implementation for 'Extending LLMs’ Context Window with 100 Samples'☆81Updated 2 years ago
- Multipack distributed sampler for fast padding-free training of LLMs☆204Updated last year
- RWKV infctx trainer, for training arbitary context sizes, to 10k and beyond!☆148Updated last year
- Implementation of NAACL 2024 Outstanding Paper "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆152Updated 10 months ago
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆104Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆248Updated 8 months ago
- Low-bit optimizers for PyTorch☆138Updated 2 years ago
- ☆54Updated last year
- ☆84Updated 3 months ago
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆163Updated 9 months ago
- Longitudinal Evaluation of LLMs via Data Compression☆33Updated last year
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)☆147Updated last year
- [TMLR 2026] When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models☆122Updated last year
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆177Updated last year
- Code repository for the c-BTM paper☆108Updated 2 years ago
- Fast modular code to create and train cutting edge LLMs☆68Updated last year
- RWKV-7: Surpassing GPT☆104Updated last year
- LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models☆79Updated last year
- Language models scale reliably with over-training and on downstream tasks☆99Updated last year
- Simple implementation of Speculative Sampling in NumPy for GPT-2.☆99Updated 2 years ago
- ☆208Updated 3 weeks ago
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆214Updated 5 months ago
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…☆58Updated this week
- ☆126Updated last year
- [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”☆126Updated last year
- BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.☆238Updated 5 months ago