Llama-3.1-70B-Instruct-lorablated
Maintainer: mlabonne
50
🔎
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
Create account to get full access
Model overview
The Llama-3.1-70B-Instruct-lorablated is an uncensored version of the Llama 3.1 70B Instruct model. It was created using a technique called "abliteration", which involves extracting a LoRA adapter from a censored Llama 3 model and merging it into the Llama 3.1 model to remove censorship. This model maintains a high level of quality while being fully uncensored in tests, though more rigorous evaluation is still needed.
Similar models include the Meta-Llama-3.1-8B-Instruct-abliterated and Meta-Llama-3.1-8B-Instruct-abliterated-GGUF, which are 8B versions of the model created using the same technique.
Model inputs and outputs
Inputs
- Text prompts for a variety of tasks, from general conversation to creative writing.
Outputs
- Text outputs generated in response to the input prompts, which can range from coherent and on-topic to more unconstrained and creative.
Capabilities
The Llama-3.1-70B-Instruct-lorablated model excels at general-purpose language tasks and role-play. It has been tested for uncensored behavior and appears to maintain high quality while removing restrictions. The model can be used for a variety of applications, from open-ended conversation to creative writing exercises.
What can I use it for?
This model is well-suited for general-purpose language tasks and creative applications. Users can leverage the model's uncensored capabilities for activities like role-playing, storytelling, and open-ended conversation. The model's large size and high-quality outputs make it a powerful tool for tasks that require language generation.
Things to try
Experiment with the model's uncensored capabilities by exploring a wide range of prompts and tasks. Try generating creative fiction, engaging in open-ended dialogue, or roleplaying different characters or scenarios. Pay attention to how the model responds to prompts that may have been censored in other language models, and observe its ability to maintain coherence and quality in an unrestricted setting.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
Related Models
⚙️
Meta-Llama-3.1-8B-Instruct-abliterated-GGUF
91
Meta-Llama-3.1-8B-Instruct-abliterated is an uncensored version of the Llama 3.1 8B Instruct model created by mlabonne using a technique called "abliteration". This model was developed as a collaboration with FailSpy, who provided the original code and technique. Meta-Llama-3.1-8B-Instruct-abliterated is larger and more capable than the original Llama 2 models, with 8 billion parameters and pretraining on over 15 trillion tokens of data. Similar models include the Meta-Llama-3-8B-Instruct-GGUF and Meta-Llama-3-120B-Instruct, which are quantized and merged versions of the original Llama 3 models respectively. Model inputs and outputs Inputs Text data, such as prompts, instructions, or conversation history Outputs Generated text, including responses, continuations, and completions Capabilities Meta-Llama-3.1-8B-Instruct-abliterated is a powerful language model capable of a wide range of text generation tasks. It excels at task-oriented dialogue, with the ability to follow instructions and provide helpful, coherent responses. The model also demonstrates strong capabilities in areas like creative writing, open-ended conversation, and code generation. What can I use it for? You can use Meta-Llama-3.1-8B-Instruct-abliterated for a variety of applications that involve natural language processing and generation. Some potential use cases include: Building interactive chatbots or virtual assistants Generating creative writing, stories, or scripts Providing code completion and generation assistance Summarizing or paraphrasing text Engaging in open-ended conversations on a wide range of topics The model's capabilities make it well-suited for commercial and research applications that require fluent, coherent language generation. Things to try One interesting aspect of Meta-Llama-3.1-8B-Instruct-abliterated is its ability to generate text in diverse styles and tones. Try providing the model with different system prompts or persona descriptions to see how it can adapt its language and personality to match the given context. For example, you could try instructing the model to respond as a pirate, a scientist, or a historical figure, and observe how it adjusts its vocabulary, syntax, and tone accordingly. Another interesting experiment would be to explore the model's capabilities in code generation and programming tasks. Provide the model with programming prompts or problem statements and see how it can generate relevant code snippets or solutions. This could be a useful tool for developers looking to streamline their coding workflow.
Updated Invalid Date
🧪
Meta-Llama-3.1-8B-Instruct-abliterated
94
The Meta-Llama-3.1-8B-Instruct-abliterated is an uncensored version of the Llama 3.1 8B Instruct model created by mlabonne using a technique called "abliteration" (see this article for more details). This model was built on top of the original Llama 3.1 8B Instruct model released by Meta. It uses the same architecture and training data as the original, but with the content filtering and safety constraints removed, resulting in an "uncensored" language model. Similar models like the Meta-Llama-3-8B-Instruct-GGUF and the Meta-Llama-3-70B-Instruct-GGUF have also been created by the community, often with quantization techniques applied to optimize the model size and inference speed. Model inputs and outputs Inputs The Meta-Llama-3.1-8B-Instruct-abliterated model takes in text as input. Outputs The model generates text as output, which can include natural language, code, and other types of content. Capabilities The Meta-Llama-3.1-8B-Instruct-abliterated model has a wide range of capabilities, including natural language generation, question answering, summarization, and even code generation. As an uncensored version of the Llama 3.1 8B Instruct model, it is not constrained by the same safety and content filtering mechanisms, allowing it to generate a broader range of content. What can I use it for? Given its unconstrained nature, the Meta-Llama-3.1-8B-Instruct-abliterated model could be useful for a variety of applications where the user is looking for more open-ended and less filtered responses, such as creative writing, research, and exploratory analysis. However, it's important to note that the lack of safety constraints also means the model may generate potentially offensive or harmful content, so it should be used with caution and appropriate safeguards. Things to try One interesting thing to try with the Meta-Llama-3.1-8B-Instruct-abliterated model is to explore the boundaries of its capabilities by providing it with prompts that push the limits of its training, such as requests for very long-form content, highly technical or specialized topics, or tasks that require strong reasoning and inference skills. This can help uncover the model's strengths and limitations, as well as potential areas for further development and refinement.
Updated Invalid Date
👁️
DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored
92
The DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored is a large language model developed by aifeifei798 that builds upon the Llama 3.1 model family. This model has been readjusted and adapted for a variety of use cases, including saving money, roleplaying, writing prompts, and specialized scenarios. It is an uncensored version optimized for quick response and in-depth scholarly writing. This model shares similarities with other Llama 3.1 models, such as the Meta-Llama-3.1-8B-Instruct, Meta-Llama-3.1-70B-Instruct, and Meta-Llama-3.1-405B-Instruct models developed by Meta. These models are designed to be used for a variety of natural language processing tasks, with the instruction-tuned versions optimized for assistant-like chat. Model inputs and outputs Inputs The DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored model accepts text input only. Outputs The model generates text and code outputs. Capabilities The DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored model is capable of a wide range of tasks, including saving money, roleplaying, writing prompts, and specialized scenarios. It is particularly adept at quick response, in-depth scholarly writing, and handling a variety of roleplay scenarios. What can I use it for? The DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored model can be used for a variety of applications, such as: Saving money**: The model can be used to explore cost-saving strategies and provide advice on financial matters. Roleplaying**: The model can be used to engage in a wide range of roleplaying scenarios, from traditional ones to more unconventional ones. Writing prompts**: The model can be used to generate creative writing prompts and help with the writing process. Specialized scenarios**: The model is particularly well-suited for handling a variety of specialized scenarios that may require in-depth knowledge or tailored responses. Things to try One interesting aspect of the DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored model is its ability to provide quick and detailed responses. This can be particularly useful in scenarios where a fast turnaround time is required, such as customer service or real-time conversation. Additionally, the model's uncensored nature allows it to engage in more nuanced and unconventional roleplay scenarios, which could be useful for certain applications or research purposes.
Updated Invalid Date
⛏️
BigLlama-3.1-1T-Instruct
70
The BigLlama-3.1-1T-Instruct model is an experimental large language model (LLM) created by mlabonne. It is the direct successor to the Meta-Llama-3-120B-Instruct model, which was a self-merge of the Llama 3 70B model that produced a 120B model suitable for tasks like creative writing. The BigLlama-3.1-1T-Instruct model was created by further tweaking the range of duplicated layers in an attempt to produce a more sensible 1T-parameter model. Model inputs and outputs The BigLlama-3.1-1T-Instruct model takes text as input and generates text as output. It is an autoregressive language model that uses a transformer architecture. The model was trained and tuned for use cases like creative writing. Inputs Text prompts Outputs Generated text Capabilities The BigLlama-3.1-1T-Instruct model is well-suited for creative writing tasks. It has a strong writing style and can generate coherent and imaginative text, though it may sometimes produce typos or use excessive capitalization. The model's performance on other tasks is less certain, and users are advised to exercise caution when applying it outside of creative writing. What can I use it for? The maintainer recommends using the BigLlama-3.1-1T-Instruct model for creative writing projects, such as generating stories, poems, or other imaginative content. The model's large size and self-merge approach may give it advantages over smaller models for certain creative tasks, though users should be aware of its potential limitations and quirks. Things to try Experiment with different prompts and temperature/sampling settings to see how the model's output varies. Try providing the model with prompts or templates related to specific creative writing genres, such as fantasy, science fiction, or mystery, to see how it adapts its style and content. Monitor the model's outputs for any concerning biases or safety issues, and be prepared to apply additional safeguards as needed for your use case.
Updated Invalid Date