SakanaAI / evo-memory
Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.
☆305Updated 6 months ago
Alternatives and similar repositories for evo-memory:
Users that are interested in evo-memory are comparing it to the libraries listed below
- PyTorch implementation of models from the Zamba2 series.☆180Updated 3 months ago
- ☆109Updated 4 months ago
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆322Updated 4 months ago
- Public repository for "The Surprising Effectiveness of Test-Time Training for Abstract Reasoning"☆307Updated 5 months ago
- Open weights language model from Google DeepMind, based on Griffin.☆636Updated 2 months ago
- Code for ExploreTom☆81Updated 4 months ago
- procedural reasoning datasets☆573Updated last week
- Atropos is a Language Model Reinforcement Learning Environments framework for collecting and evaluating LLM trajectories through diverse …☆171Updated this week
- smolLM with Entropix sampler on pytorch☆151Updated 6 months ago
- ☆176Updated 4 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆91Updated 2 weeks ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆198Updated 9 months ago
- Build your own visual reasoning model☆357Updated this week
- Train your own SOTA deductive reasoning model☆91Updated 2 months ago
- [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling☆867Updated this week
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆172Updated 3 months ago
- A Self-adaptation Framework🐙 that adapts LLMs for unseen tasks in real-time!☆1,048Updated 3 months ago
- ☆306Updated 2 weeks ago
- Long context evaluation for large language models☆206Updated 2 months ago
- Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache☆97Updated last week
- Pretraining code for a large-scale depth-recurrent language model☆755Updated 3 weeks ago
- An easy-to-understand framework for LLM samplers that rewind and revise generated tokens☆139Updated 2 months ago
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆291Updated this week
- Tina: Tiny Reasoning Models via LoRA☆164Updated last week
- Code for Paper: Training Software Engineering Agents and Verifiers with SWE-Gym☆448Updated last month
- A compact LLM pretrained in 9 days by using high quality data☆312Updated 3 weeks ago
- ☆115Updated 3 weeks ago
- A comprehensive repository of reasoning tasks for LLMs (and beyond)☆437Updated 7 months ago
- Code for NeurIPS'24 paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'☆189Updated 5 months ago
- smol models are fun too☆92Updated 5 months ago