Jamba-1.5 Collection The AI21 Jamba family of models are state-of-the-art, hybrid SSM-Transformer instruction following foundation models • 2 items • Updated Aug 22 • 81
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27 • 602
Granite Code Models Collection A series of code models trained by IBM licensed under Apache 2.0 license. We release both the base pretrained and instruct models. • 23 items • Updated 15 days ago • 178
view article Article Run the strongest open-source LLM model: Llama3 70B with just a single 4GB GPU! By lyogavin • Apr 21 • 43
📀 Dataset comparison models Collection 1.8B models trained on 350BT to compare different pretraining datasets • 8 items • Updated Jun 12 • 31
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models Paper • 2308.13137 • Published Aug 25, 2023 • 17
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers Paper • 2210.17323 • Published Oct 31, 2022 • 8
LoRA: Low-Rank Adaptation of Large Language Models Paper • 2106.09685 • Published Jun 17, 2021 • 30
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning Paper • 2308.03526 • Published Aug 7, 2023 • 25
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization Paper • 2308.02151 • Published Aug 4, 2023 • 18