Alpindale

Models by this creator

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WizardLM-2-8x22B

alpindale

Total Score

315

The WizardLM-2-8x22B is a large language model developed by the WizardLM@Microsoft AI team. It is a Mixture of Experts (MoE) model with 141B parameters, trained on a multilingual dataset. This model demonstrates highly competitive performance compared to leading proprietary models, and consistently outperforms existing state-of-the-art open-source models according to the maintainer's description. The WizardLM-2-7B and WizardLM-2-70B are other models in the WizardLM-2 family, each with their own unique capabilities. Model inputs and outputs The WizardLM-2-8x22B is a text-to-text model, meaning it takes text as input and generates text as output. It can handle a wide range of natural language processing tasks such as chatbots, language translation, and question answering. Inputs Text prompts Outputs Generated text Capabilities The WizardLM-2-8x22B demonstrates highly competitive performance on complex chat, multilingual, reasoning and agent tasks compared to leading proprietary models, according to the maintainer. It outperforms existing state-of-the-art open-source models on a range of benchmarks. What can I use it for? The WizardLM-2-8x22B can be used for a variety of natural language processing tasks, such as building chatbots, language translation systems, question-answering systems, and even creative writing assistants. Given its strong performance on reasoning and agent tasks, it could also be used for decision support or task automation. Things to try Some interesting things to try with the WizardLM-2-8x22B model could include: Exploring its multilingual capabilities by testing it on prompts in different languages Evaluating its performance on open-ended reasoning tasks that require complex logical thinking Experimenting with fine-tuning the model on specialized datasets to adapt it for domain-specific applications Overall, the WizardLM-2-8x22B appears to be a powerful and versatile language model that could be useful for a wide range of natural language processing projects.

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Updated 5/21/2024

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goliath-120b

alpindale

Total Score

211

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.

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Updated 5/21/2024