oasst-falcon-7b-sft-top1-696

Maintainer: own-ai

Total Score

4

Last updated 6/13/2024

💬

PropertyValue
Model LinkView on Replicate
API SpecView on Replicate
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The oasst-falcon-7b-sft-top1-696 is a large language model developed by own-ai. It is a 7 billion parameter model that has been fine-tuned on a dataset of human-written text. This model is similar to other large language models like h2ogpt-gm-oasst1-en-2048-falcon-7b-v2, falcon-40b-instruct, and zephyr-7b-alpha in its general capabilities and architecture.

Model inputs and outputs

The oasst-falcon-7b-sft-top1-696 model takes a text prompt as input and generates up to 5 output sequences. The input prompt can be up to 512 tokens long. The model uses various hyperparameters to control the randomness and repetition of the generated text, including temperature, top-p, and repetition penalty.

Inputs

  • Prompt: The text prompt to send to the model.
  • Max Length: The maximum number of tokens to generate (typically 1-2 sentences).
  • Temperature: Controls the randomness of the generated text, with higher values producing more diverse outputs.
  • Top P: Specifies the percentage of the most likely tokens to sample from during generation.
  • Repetition Penalty: Adjusts the penalty for repeating words in the generated text.

Outputs

  • Output Sequences: The model generates up to 5 output sequences in response to the input prompt.

Capabilities

The oasst-falcon-7b-sft-top1-696 model is capable of generating human-like text on a variety of topics. It can be used for tasks such as creative writing, summarization, and question answering. The model has been fine-tuned to produce high-quality, coherent text that is suitable for a wide range of applications.

What can I use it for?

The oasst-falcon-7b-sft-top1-696 model can be used for a variety of applications, such as content creation, chatbots, and language generation. For example, you could use the model to generate product descriptions, blog posts, or creative stories. The model could also be used to build conversational AI assistants that can engage in natural language interactions.

Things to try

To get the most out of the oasst-falcon-7b-sft-top1-696 model, you can experiment with different input prompts and hyperparameter settings. Try varying the length of the prompt, the temperature, and the top-p value to see how they affect the generated text. You can also explore the model's capabilities by giving it a wide range of prompts, from creative writing to task-oriented instructions.



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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