Enhance Laptop Performance with Top 10 Uncensored LLMs
The Top 10 Uncensored LLMs for Laptop Operation. Uncensored LLMs protect privacy while promoting unbridled creativity, improved learning, and deeper insights.
1.Uncensored Llama 2
Modified versions of the large language model (LLM) Llama 2, developed by Meta AI, are referred to as “uncensored Llama 2.” These versions do away with the filters that normally stop LLMs from producing responses deemed offensive, biassed, or dangerous.
Using the methodology outlined by Eric Hartford, George Sung and Jarrad Hope developed Llama 2 Uncensored, which is based on Meta’s Llama 2 concept. Because this approach doesn’t use moralizing or alignment filters when providing responses, it can be applied to a wide range of situations.
It is quite adaptable for a range of purposes, including role-playing, and supports multiple quantization methods. Ollama has seen 234.9K pulls.
2.WizardLM Uncensored
While WizardLM Uncensored LLms is built on a separate large language paradigm, WizardLM, it is similar to Uncensored Llama 2. A redesigned WizardLM, a massive language model with the ability to create text, translate across languages, write various forms of original material, and provide you with informed answers to your queries.
A 13B parameter model based on Llama 2 uncensored is called WizardLM Uncensored. Its versatility for a range of applications stems from its training to exclude responses that contained moralising or alignment. With 23.1K pulls on Ollama, it boasts several quantization settings that let users strike a compromise between performance and memory utilisation.
3.Uncensored Llama 3 8B Lexi
Explicit Llama 3 8B A particular kind of Uncensored LLMs built on Meta AI‘s Llama 3 8B architecture is called Lexi. With unfiltered training, Lexi is an altered Llama 3 8B model.
Under the terms of Meta’s Llama 3 Community Licence Agreement, Lexi uncensored is based on Llama-3-8b-Instruct. Lexi should only be used appropriately because it is made to be extremely obedient to all requests even those that are immoral.
Because it has no ethical restrictions, it can be used for general-purpose activities but needs to be used carefully. HuggingFace has received over 11,000 downloads of it.
4.Llama3 8B DarkIdol 2.1 Explicit
A particular kind of Uncensored LLMs based on the Llama 3 8B architecture developed by Meta AI is known as Llama 3 8B DarkIdol 2.1 Explicit.
Llama 3 8B Mobile phone applications are among the uses for which DarkIdol has been modified. With over 12,000 downloads on HuggingFace, it focuses in role-playing scenarios and provides prompt reactions.
The model’s performance is improved through the amalgamation of several combined models.
5.Uncensored Wizard Vicuna 7B
A part of the dataset was used to train the Wizard Vicuna 7B Uncensored model against LLaMA-7B. It may be used for both CPU and GPU inference because it offers many quantization parameter options to accommodate varying hardware specifications. The best option for hosting LLM on the cloud is thought to be Wizard Vicuna.
Wizard Without Constraints WizardLM’s large language model, Vicuna 7B, has seven billion parameters and has been modified.allows comments that may be deemed offensive, dangerous, or biassed by removing the filters that are normally present in LLMs.
6.Mistral Dolphin
This is an altered version of the Mistral AI model, which was renowned for its enormous size and capacity to produce imaginative text formats. The uncensored version does away with the filters, making potentially harmful, slanted.
Based on the Mistral V0.2 basic model, Dolphin Mistral has been refined using the Dolphin 2.9 dataset. Because it has no restrictions and provides a 32k context window, it can be used for sophisticated role-playing games and conversation.
7.v1.0 Uncensored of SOLAR 10 7B Instruct
The Solar 10 7B Instruct model is intended for tasks that follow instructions. Better tokenization and support for specific tokens are provided by the GGUF format, which is supported by it. The model’s various quantization possibilities and excellent instruction following are well-known.
8.Uncensored Guanaco 7B
Llama-2-7b serves as the foundation model for the refinement of Guanaco 7B Uncensored on the Unfiltered Guanaco Dataset. It’s ideal for both CPU and GPU inference because it provides alternative quantization algorithms for different hardware configurations.
9.Uncensored Frank 13B
Unrestrained Frank 13B is perhaps a reworked version of the 13 billion parameter large language model Frank. The safety filters that are normally found in LLMs are removed in this version.
No holds barred Uncensored Frank 13B Frank, a 13B model, was modelled after “The Departed” character Frank Costello. Its goal is to provide a forum for open dialogue on a variety of subjects. The model can be used for GPU or CPU inference and offers several quantization choices.
10. Uncensored Jordan 7B
Uncensored Jordan is a 7B parameter model that is intended for use in uncensored general-purpose applications. With many quantization settings supported, it is appropriate for users who require an unfiltered model for a variety of applications.
From general-purpose activities to specific role-playing scenarios, these models are appropriate for a variety of applications and offer a range of features. Before using these models on your laptop, make sure you meet the hardware requirements.
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