Local-LLM-Comparison-Colab-UI Project Introduction
The Local-LLM-Comparison-Colab-UI project is designed as a comprehensive resource for exploring and utilizing a variety of language models that can be run on consumer hardware. Originally aimed at comparing smaller models (specifically, those with 7 billion and 13 billion parameters) through a set of evaluation questions, the project's scope has evolved to focus on offering users the opportunity to experiment with newer, more capable models directly.
Purpose and Evolution
The initial goal was to assign scores based on the performance of different models, but with the rapid development and introduction of new models, this approach became less practical. Instead, the project now prioritizes accessibility and hands-on testing, encouraging users to see which models best fit their specific use cases. By providing links to Colab WebUI, users can quickly and easily engage with different models with just a few clicks.
Trying Out New Models
The project hosts an extensive list of models that have been recommended through online communities like Reddit or through personal experience. Each entry includes a direct link to a Google Colab notebook, allowing users to explore and interact with the model live. Users can play around with the models and determine which ones meet their needs based on performance.
Models vary widely in terms of their capabilities, censorship levels, and proper use cases, such as role-playing or logic tasks. Here is a snapshot of several notable models available in the project:
- Zephyr-7B-beta-GGUF: Best for role-playing and is not censored.
- OpenHermes-2.5-Mistral-7B-GGUF: Excellent for role-play without censorship.
- Starling-LM-7B-alpha-GGUF: Highly rated for tasks on Reddit, though it is censored.
- NeuralHermes-2.5-Mistral-7B-GGUF: Good performance in role-playing scenarios.
- Mistral-7B-Instruct-v0.2-GGUF: A partially censored model approved by many Reddit users for role-playing effectively.
- LLaMA2-13B-Tiefighter-GGUF: A 13B model praised for its role-playing capabilities.
- Nous-Hermes-2-SOLAR-10.7B-GGUF: A partially censored model adept at role-playing.
Access and Interaction
Each model's description in the project provides helpful notes regarding its performance and intended use. This includes whether a model is capable of performing well in creative writing tasks, whether it supports coding, and how it handles role-play. Users can leverage this information along with direct notebook access to make informed decisions about which models to deploy in their projects.
Conclusion
The Local-LLM-Comparison-Colab-UI project is a dynamic tool for anyone interested in experimenting with language models on consumer hardware. By alleviating the need for scoring each model and instead offering direct interaction opportunities, it provides a user-centric approach for evaluating the real-world applicability and efficiency of numerous state-of-the-art models. With all these models just a click away, users are empowered to discover and use the best model for their needs.