goliath-120b
Maintainer: alpindale
212
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The goliath-120b is an auto-regressive causal language model created by combining two finetuned Llama-2 70B models into one larger model. As a Text-to-Text model, the goliath-120b is capable of processing and generating natural language text. It is maintained by alpindale, who has also created similar models like goliath-120b-GGUF, gpt4-x-alpaca-13b-native-4bit-128g, and gpt4-x-alpaca.
Model inputs and outputs
The goliath-120b model takes in natural language text as input and generates natural language text as output. The specific inputs and outputs can vary depending on the task and how the model is used.
Inputs
- Natural language text, such as queries, prompts, or documents
Outputs
- Natural language text, such as responses, summaries, or translations
Capabilities
The goliath-120b model is capable of performing a variety of natural language processing tasks, such as text generation, question answering, and summarization. It can be used to create content, assist with research and analysis, and improve communication and collaboration.
What can I use it for?
The goliath-120b model can be used for a wide range of applications, such as generating creative writing, answering questions, and summarizing long-form content. It can also be fine-tuned or used in conjunction with other models to create specialized applications, such as chatbots, virtual assistants, and content generation tools.
Things to try
Some interesting things to try with the goliath-120b model include generating summaries of long-form content, answering open-ended questions, and using it for creative writing tasks. The model's ability to understand and generate natural language text makes it a powerful tool for a wide range of applications.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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