srush / LLM-TalkLinks
☆51Updated last year
Alternatives and similar repositories for LLM-Talk
Users that are interested in LLM-Talk are comparing it to the libraries listed below
Sorting:
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆75Updated 11 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆78Updated last year
- Using FlexAttention to compute attention with different masking patterns☆44Updated 10 months ago
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…☆56Updated last week
- ☆39Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆23Updated 3 months ago
- ☆49Updated last year
- ☆83Updated 11 months ago
- Language models scale reliably with over-training and on downstream tasks☆97Updated last year
- ☆20Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆77Updated 9 months ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆57Updated last year
- NeurIPS 2024 tutorial on LLM Inference☆45Updated 7 months ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year
- The repository contains code for Adaptive Data Optimization☆25Updated 7 months ago
- ☆88Updated last year
- ☆65Updated last year
- A repository for research on medium sized language models.☆78Updated last year
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆136Updated last year
- ☆56Updated last year
- Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.☆25Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆37Updated last year
- A toolkit for scaling law research ⚖☆50Updated 6 months ago
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆30Updated 2 weeks ago
- ☆21Updated 3 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
- Exploration of automated dataset selection approaches at large scales.☆47Updated 5 months ago
- Replicating O1 inference-time scaling laws☆89Updated 8 months ago
- ☆75Updated last year