A beginner's guide to the Openchat-3.5-1210-Gguf model by Kcaverly on Replicate

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This is a simplified guide to an AI model called Openchat-3.5-1210-Gguf maintained by Kcaverly. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

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.