Locutusque_-_Apollo-2.0-Llama-3.1-8B-gguf

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Apollo-2.0-Llama-3.1-8B - GGUF

• Model creator: https://huggingface.co/Locutusque/
• Original model: https://huggingface.co/Locutusque/Apollo-2.0-Llama-3.1-8B/

Original model description:

library_name: transformers license: llama3.1 datasets:

• Locutusque/ApolloRP-2.0-SFT language:
• en pipeline_tag: text-generation tags:
• not-for-all-audiences

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Model Card for Locutusque/Apollo-2.0-Llama-3.1-8B

<!-- Provide a quick summary of what the model is/does. -->

SFT of Llama-3.1 8B. I was going to use DPO, but it made the model worse.

~50 point elo increase on the chaiverse leaderboard over preview versions.

Model Details

Model Description

<!-- Provide a longer summary of what this model is. -->

Fine-tuned Llama-3.1-8B on Locutusque/ApolloRP-2.0-SFT. Results in a good roleplaying language model, that isn't dumb.

• Developed by: Locutusque
• Model type: Llama3.1
• Language(s) (NLP): English
• License: Llama 3.1 Community License Agreement

Model Sources [optional]

<!-- Provide the basic links for the model. -->

• Demo: https://huggingface.co/spaces/Locutusque/Locutusque-Models

Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

RP/ERP, instruction following, conversation, etc

Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

This model is completely uncensored - use at your own risk.

Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

Training Details

Training Data

<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

Locutusque/ApolloRP-2.0-SFT

The training data is cleaned from refusals, and "slop".

Training Hyperparameters

• Training regime: bf16 non-mixed precision