eqimp / hogwild_llmLinks
Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache
☆136Updated 4 months ago
Alternatives and similar repositories for hogwild_llm
Users that are interested in hogwild_llm are comparing it to the libraries listed below
Sorting:
- OpenTinker is an RL-as-a-Service infrastructure for foundation models☆229Updated this week
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆174Updated 11 months ago
- Simple & Scalable Pretraining for Neural Architecture Research☆305Updated 2 weeks ago
- Chain of Experts (CoE) enables communication between experts within Mixture-of-Experts (MoE) models☆226Updated last month
- Tina: Tiny Reasoning Models via LoRA☆310Updated 3 months ago
- [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?☆84Updated 9 months ago
- Training teachers with reinforcement learning able to make LLMs learn how to reason for test time scaling.☆353Updated 6 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆111Updated 8 months ago
- All information and news with respect to Falcon-H1 series☆94Updated 2 months ago
- [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.☆215Updated 6 months ago
- Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.☆190Updated 9 months ago
- QeRL enables RL for 32B LLMs on a single H100 GPU.☆467Updated 3 weeks ago
- [Preprint] RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments☆162Updated last month
- rl from zero pretrain, can it be done? yes.☆282Updated 2 months ago
- accompanying material for sleep-time compute paper☆118Updated 7 months ago
- Storing long contexts in tiny caches with self-study☆226Updated 3 weeks ago
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆362Updated last year
- Esoteric Language Models☆108Updated last month
- Memory optimized Mixture of Experts☆72Updated 5 months ago
- Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling☆463Updated 7 months ago
- A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).☆332Updated last week
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆349Updated 7 months ago
- This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"