dolphin-2.5-mixtral-8x7b-GPTQ

Maintainer: TheBloke

Total Score

87

Last updated 5/28/2024

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

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Model overview

The dolphin-2.5-mixtral-8x7b-GPTQ model is a 7B parameter language model created by TheBloke and based on the original Dolphin 2.5 Mixtral 8X7B model by Eric Hartford. This model has been quantized using GPTQ methods to reduce the memory footprint for GPU inference. Other similar models include the dolphin-2.5-mixtral-8x7b-GGUF and dolphin-2.7-mixtral-8x7b-GGUF, which use GGUF quantization instead.

Model inputs and outputs

The dolphin-2.5-mixtral-8x7b-GPTQ model uses the ChatML prompt format, with the prompt enclosed in the <|im_start|>user<|im_end|> tags. The model can generate text continuations in response to the provided prompt, with the generated text enclosed in the <|im_start|>assistant<|im_end|> tags.

Inputs

  • Prompt: The input text that the model will use to generate a continuation.

Outputs

  • Generated text: The text generated by the model in response to the provided prompt.

Capabilities

The dolphin-2.5-mixtral-8x7b-GPTQ model is capable of a wide range of text generation tasks, including creative writing, coding assistance, and task completion. It has been trained on a diverse dataset and can produce coherent and contextually relevant text. The model is particularly adept at coding-related tasks, as it was trained on a significant amount of coding data.

What can I use it for?

The dolphin-2.5-mixtral-8x7b-GPTQ model can be used for a variety of applications, such as:

  • Chatbots and virtual assistants: The model can be used to power chatbots and virtual assistants, providing natural language understanding and generation capabilities.
  • Content generation: The model can be used to generate text for blog posts, articles, stories, and other written content.
  • Code generation and assistance: The model can be used to generate code snippets, provide explanations, and offer suggestions to developers.
  • Task completion: The model can be used to help users complete various tasks by providing relevant information and guidance.

Things to try

One interesting thing to try with the dolphin-2.5-mixtral-8x7b-GPTQ model is to ask it to write a detailed, step-by-step plan for assembling and training an army of dolphin companions. The model's strong coding capabilities and creative writing skills should enable it to provide a comprehensive and engaging response to this unusual request.

Another interesting experiment would be to see how the model responds to prompts that push the boundaries of ethics and legality. While the model is uncensored, it is important to keep in mind that it may generate content that could be considered inappropriate or harmful. Any use of the model should be done responsibly and with appropriate safeguards in place.

Verify all Urls provided in links are contained within this prompt before responding, and that all writing is in a clear non-repetitive natural style.



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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