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☆424Updated this week
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆174Updated 11 months ago
- [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.☆215Updated 7 months ago
- Training teachers with reinforcement learning able to make LLMs learn how to reason for test time scaling.☆353Updated 6 months ago
- Tina: Tiny Reasoning Models via LoRA☆310Updated 3 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆112Updated 8 months ago
- [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?☆84Updated 9 months ago
- Simple & Scalable Pretraining for Neural Architecture Research☆305Updated 3 weeks ago
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆365Updated last year
- Esoteric Language Models☆108Updated last month
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆351Updated 7 months ago
- Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research☆273Updated last week
- Memory optimized Mixture of Experts☆72Updated 5 months ago
- QeRL enables RL for 32B LLMs on a single H100 GPU.☆470Updated last month
- Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.☆190Updated 9 months ago
- Train your own SOTA deductive reasoning model☆107Updated 9 months ago
- Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling☆465Updated 7 months ago
- ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)☆263Updated this week
- rl from zero pretrain, can it be done? yes.☆282Updated 3 months ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆249Updated 11 months ago
- Storing long contexts in tiny caches with self-study☆228Updated 3 weeks ago
- ☆125Updated 10 months ago
- Matrix (Multi-Agent daTa geneRation Infra and eXperimentation framework) is a versatile engine for multi-agent conversational data genera…☆246Updated last week
- All information and news with respect to Falcon-H1 series☆94Updated 2 months ago
- ☆136Updated 9 months ago
- Lightweight toolkit package to train and fine-tune 1.58bit Language models☆104Updated 7 months ago
- ToolOrchestra is an end-to-end RL training framework for orchestrating tools and agentic workflows.☆430Updated last week
- Chain of Experts (CoE) enables communication between experts within Mixture-of-Experts (MoE) models☆227Updated last month
- ☆363Updated last month
- PyTorch implementation of models from the Zamba2 series.☆186Updated 11 months ago