openchat-3.5-1210-gguf

Maintainer: kcaverly

Total Score

32

Last updated 6/13/2024
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Model LinkView on Replicate
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Github LinkView on Github
Paper LinkView on Arxiv

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Model overview

The openchat-3.5-1210-gguf model, created by kcaverly, is described as the "Overall Best Performing Open Source 7B Model" for tasks like Coding and Mathematical Reasoning. This model is part of a collection of cog models available on Replicate, which include similar large language models like kcaverly/dolphin-2.5-mixtral-8x7b-gguf and kcaverly/nous-hermes-2-yi-34b-gguf.

Model inputs and outputs

The openchat-3.5-1210-gguf model takes a text prompt as input, along with optional parameters to control the model's behavior, such as temperature, maximum new tokens, and repeat penalty. The model then generates a text output, which can be a continuation or response to the input prompt.

Inputs

  • Prompt: The instruction or text that the model should use as a starting point for generation.
  • Temperature: A parameter that controls the "warmth" or randomness of the model's responses, with higher values resulting in more diverse and creative outputs.
  • Max New Tokens: The maximum number of new tokens the model should generate in response to the prompt.
  • Repeat Penalty: A parameter that discourages the model from repeating itself too often, encouraging it to explore new ideas and topics.
  • Prompt Template: An optional template to use when passing multi-turn instructions to the model.

Outputs

  • Text: The model's generated response to the input prompt, which can be a continuation, completion, or a new piece of text.

Capabilities

The openchat-3.5-1210-gguf model is capable of a wide range of language tasks, from creative writing to task completion. Based on the maintainer's description, this model performs particularly well on coding and mathematical reasoning tasks, making it a useful tool for developers and researchers working in those domains.

What can I use it for?

The openchat-3.5-1210-gguf model could be used for a variety of applications, such as:

  • Generating code snippets or programming solutions
  • Solving mathematical problems and explaining the reasoning
  • Engaging in open-ended conversations and ideation
  • Producing creative writing, such as stories or poems
  • Summarizing or analyzing text
  • Providing language assistance and translations

Things to try

Some interesting things to try with the openchat-3.5-1210-gguf model might include:

  • Experimenting with different prompts and parameter settings to see how the model's outputs change
  • Asking the model to solve complex coding challenges or mathematical problems, and then analyzing its step-by-step reasoning
  • Exploring the model's ability to engage in open-ended conversations on a wide range of topics
  • Combining the model's capabilities with other tools or datasets to create novel applications or workflows.


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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