openchat-3.5-1210-gguf
Maintainer: kcaverly
48
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | View 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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