eqimp / hogwild_llmLinks
Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache
☆109Updated 2 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:
- EvaByte: Efficient Byte-level Language Models at Scale☆102Updated 2 months ago
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆173Updated 5 months ago
- Training an LLM to use a calculator with multi-turn reinforcement learning, achieving a **62% absolute increase in evaluation accuracy**.☆41Updated last month
- Chain of Experts (CoE) enables communication between experts within Mixture-of-Experts (MoE) models☆170Updated this week
- Simple extension on vLLM to help you speed up reasoning model without training.☆161Updated 3 weeks ago
- [ICML 2025] Reward-guided Speculative Decoding (RSD) for efficiency and effectiveness.☆32Updated last month
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆339Updated 6 months ago
- [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems☆93Updated 2 weeks ago
- accompanying material for sleep-time compute paper☆95Updated last month
- [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?☆68Updated 3 months ago
- Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate"☆159Updated 3 weeks ago
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆125Updated this week
- LLM Inference on consumer devices☆119Updated 3 months ago
- Train your own SOTA deductive reasoning model☆94Updated 3 months ago
- Lightweight toolkit package to train and fine-tune 1.58bit Language models☆80Updated last month
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆239Updated 4 months ago
- ☆115Updated 4 months ago
- ☆137Updated this week
- Tina: Tiny Reasoning Models via LoRA☆260Updated 3 weeks ago
- PyTorch implementation of models from the Zamba2 series.☆182Updated 5 months ago
- Exploring Applications of GRPO☆230Updated last month
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆238Updated last year
- ☆178Updated 6 months ago
- ☆193Updated 4 months ago
- KV cache compression for high-throughput LLM inference☆131Updated 4 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆126Updated 6 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆163Updated last year
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆203Updated last year
- A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).☆255Updated last week
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆158Updated 2 months ago