LLM Models · Open Source
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
1. Model Summary 2. Use 3. Limitations 4. Training 5. Evaluation 7. Citation
Used dataset for fine-tuning - sahil2801/CodeAlpaca-20k - m-a-p/CodeFeedback-Filtered-Instruction
[!IMPORTANT] ❗ This repo requires the use of the macOS Sequoia (15) Developer Beta to utilize the latest and greatest CoreML has to offer! Sign up for the Apple Beta Software Program here to get access. Check out the companion blog post to learn more about what's new in iOS 18 &…
This is the SFT model in our Mixture of Agents Alignment (MoAA) pipeline. This model is tuned on the Gemma-2-9b-it. MoAA is an approach that leverages collective intelligence from open‑source LLMs to advance alignment.
WARNING: This is an intermediary checkpoint and WIP project. It is not fully trained yet. You might want to use Bloom-1B3 if you want a model that has completed training. This model is a distilled version of Bloom-1B3
Coherence Modelling You can test the model at coherence modeling. If you want to find out more information, please contact us at sg-nlp@aisingapore.org.
WARNING: This is an intermediary checkpoint and WIP project. It is not fully trained yet. You might want to use Bloom-1B3 if you want a model that has completed training. This model is a distilled version of Bloom-1B3 (10x distillation)
We introduce and release LongCat-Flash-Thinking , which is a powerful and efficient large reasoning model (LRM) with 560 billion total parameters, featuring an innovative Mixture-of-Experts (MoE) architecture. The model incorporates a dynamic computation mechanism that activates…
- Model creator: AI Singapore - Original model: Qwen-SEA-LION-v4-32B-IT
This is the DPO model in our Mixture of Agents Alignment (MoAA) pipeline. This model is tuned on the Gemma-2-9b-it. MoAA is an approach that leverages collective intelligence from open‑source LLMs to advance alignment.