tiiuae / Falcon-H1Links
All information and news with respect to Falcon-H1 series
☆93Updated 2 months ago
Alternatives and similar repositories for Falcon-H1
Users that are interested in Falcon-H1 are comparing it to the libraries listed below
Sorting:
- Simple & Scalable Pretraining for Neural Architecture Research☆305Updated last week
- Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache☆136Updated 4 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆111Updated 7 months ago
- [ACL 2024] Do Large Language Models Latently Perform Multi-Hop Reasoning?☆84Updated 9 months ago
- Matrix (Multi-Agent daTa geneRation Infra and eXperimentation framework) is a versatile engine for multi-agent conversational data genera…☆241Updated last week
- accompanying material for sleep-time compute paper☆118Updated 7 months ago
- ToolOrchestra is an end-to-end RL training framework for orchestrating tools and agentic workflows.☆379Updated last week
- Esoteric Language Models☆109Updated 3 weeks ago
- Train, tune, and infer Bamba model☆137Updated 6 months ago
- GRadient-INformed MoE☆265Updated last year
- [EMNLP 2025] The official implementation for paper "Agentic-R1: Distilled Dual-Strategy Reasoning"☆100Updated 3 months ago
- Source code for the collaborative reasoner research project at Meta FAIR.☆111Updated 8 months ago
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆173Updated 11 months ago
- Official Repository of Native Parallel Reasoner☆79Updated last week
- Memory optimized Mixture of Experts☆69Updated 4 months ago
- Chain of Experts (CoE) enables communication between experts within Mixture-of-Experts (MoE) models☆226Updated last month
- [Preprint] RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments☆159Updated last month
- [ACL 2025] How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training☆45Updated 5 months ago
- Training teachers with reinforcement learning able to make LLMs learn how to reason for test time scaling.☆354Updated 5 months ago
- PyTorch implementation of models from the Zamba2 series.☆186Updated 10 months ago
- LIMI: Less is More for Agency☆154Updated 2 months ago
- Lightweight toolkit package to train and fine-tune 1.58bit Language models☆103Updated 7 months ago
- ☆205Updated last year
- Data recipes and robust infrastructure for training AI agents☆61Updated this week
- ☆29Updated last month
- Code and training scripts for FlexOlmo☆118Updated this week
- Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.☆189Updated 9 months ago
- Leveraging Base Language Models for Few-Shot Synthetic Data Generation☆38Updated 2 months ago
- Source code of "How to Correctly do Semantic Backpropagation on Language-based Agentic Systems" 🤖☆76Updated last year
- RLP: Reinforcement as a Pretraining Objective☆213Updated 2 months ago