HazyResearch / cartridgesLinks
Storing long contexts in tiny caches with self-study
☆213Updated 3 weeks ago
Alternatives and similar repositories for cartridges
Users that are interested in cartridges are comparing it to the libraries listed below
Sorting:
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆173Updated 9 months ago
- rl from zero pretrain, can it be done? yes.☆280Updated last month
- Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.☆189Updated 8 months ago
- Simple & Scalable Pretraining for Neural Architecture Research☆298Updated last week
- j1-micro (1.7B) & j1-nano (600M) are absurdly tiny but mighty reward models.☆98Updated 3 months ago
- Training-Ready RL Environments + Evals☆164Updated this week
- Train your own SOTA deductive reasoning model☆108Updated 8 months ago
- code for training & evaluating Contextual Document Embedding models☆200Updated 5 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆110Updated 6 months ago
- ☆232Updated 4 months ago
- ☆106Updated 3 weeks ago
- ☆135Updated 7 months ago
- Official repo for Learning to Reason for Long-Form Story Generation☆72Updated 6 months ago
- ☆142Updated 2 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆130Updated 11 months ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆249Updated 9 months ago
- Memory optimized Mixture of Experts☆69Updated 3 months ago
- Training an LLM to use a calculator with multi-turn reinforcement learning, achieving a **62% absolute increase in evaluation accuracy**.☆58Updated 6 months ago
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆107Updated 8 months ago
- Long context evaluation for large language models☆224Updated 8 months ago
- ☆124Updated 8 months ago
- Super basic implementation (gist-like) of RLMs with REPL environments.☆242Updated 3 weeks ago
- Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna☆58Updated 3 weeks ago
- NanoGPT-speedrunning for the poor T4 enjoyers☆72Updated 6 months ago
- [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?☆82Updated 7 months ago
- NSA Triton Kernels written with GPT5 and Opus 4.1☆64Updated 3 months ago
- ☆68Updated 5 months ago
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆291Updated this week
- ☆59Updated 9 months ago
- The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…☆111Updated last month