Ehartford

Rank:

Average Model Cost: $0.0000

Number of Runs: 82,888

Models by this creator

WizardLM-30B-Uncensored

WizardLM-30B-Uncensored

ehartford

WizardLM-30B-Uncensored is a text generation model that is designed to produce text based on a given prompt. It is trained on a large dataset and has a language model with 30 billion parameters. The model can generate coherent and contextually appropriate text, making it useful for various natural language generation tasks. Please note that this model may produce content that is uncensored and may include potentially objectionable or offensive material.

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$-/run

67.5K

Huggingface

WizardLM-7B-Uncensored

WizardLM-7B-Uncensored

This is WizardLM trained with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA. Shout out to the open source AI/ML community, and everyone who helped me out. Note: An uncensored model has no guardrails. You are responsible for anything you do with the model, just as you are responsible for anything you do with any dangerous object such as a knife, gun, lighter, or car. Publishing anything this model generates is the same as publishing it yourself. You are responsible for the content you publish, and you cannot blame the model any more than you can blame the knife, gun, lighter, or car for what you do with it.

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$-/run

3.1K

Huggingface

Wizard-Vicuna-13B-Uncensored

Wizard-Vicuna-13B-Uncensored

This is wizard-vicuna-13b trained with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA. Shout out to the open source AI/ML community, and everyone who helped me out. Note: An uncensored model has no guardrails. You are responsible for anything you do with the model, just as you are responsible for anything you do with any dangerous object such as a knife, gun, lighter, or car. Publishing anything this model generates is the same as publishing it yourself. You are responsible for the content you publish, and you cannot blame the model any more than you can blame the knife, gun, lighter, or car for what you do with it.

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$-/run

2.8K

Huggingface

WizardLM-13B-Uncensored

WizardLM-13B-Uncensored

This is WizardLM trained with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA. Shout out to the open source AI/ML community, and everyone who helped me out. Note:An uncensored model has no guardrails.You are responsible for anything you do with the model, just as you are responsible for anything you do with any dangerous object such as a knife, gun, lighter, or car. Publishing anything this model generates is the same as publishing it yourself. You are responsible for the content you publish, and you cannot blame the model any more than you can blame the knife, gun, lighter, or car for what you do with it.

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$-/run

2.5K

Huggingface

Wizard-Vicuna-30B-Uncensored

Wizard-Vicuna-30B-Uncensored

This is wizard-vicuna-13b trained with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA. Shout out to the open source AI/ML community, and everyone who helped me out. Note: An uncensored model has no guardrails. You are responsible for anything you do with the model, just as you are responsible for anything you do with any dangerous object such as a knife, gun, lighter, or car. Publishing anything this model generates is the same as publishing it yourself. You are responsible for the content you publish, and you cannot blame the model any more than you can blame the knife, gun, lighter, or car for what you do with it.

Read more

$-/run

784

Huggingface

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