BigLlama-3.1-1T-Instruct
Maintainer: mlabonne
70
⛏️
| 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 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.
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-3-120B-Instruct
182
Meta-Llama-3-120B-Instruct is a large language model created by Meta that builds upon the Meta-Llama-3-70B-Instruct model. It was inspired by other large language models like alpindale/goliath-120b, nsfwthrowitaway69/Venus-120b-v1.0, cognitivecomputations/MegaDolphin-120b, and wolfram/miquliz-120b-v2.0. The model was developed and released by mlabonne at Meta. Model inputs and outputs Inputs Text**: The model takes text as input and generates text in response. Outputs Text**: The model outputs generated text based on the input. Capabilities Meta-Llama-3-120B-Instruct is particularly well-suited for creative writing tasks. It uses the Llama 3 chat template with a default context window of 8K tokens that can be extended. The model generally has a strong writing style but can sometimes output typos and relies heavily on uppercase. What can I use it for? This model is recommended for creative writing projects. It outperforms many open-source chat models on common benchmarks, though it may struggle in tasks outside of creative writing compared to more specialized models like GPT-4. Developers should test the model thoroughly for their specific use case and consider incorporating safety tools like Llama Guard to mitigate risks. Things to try Try using this model to generate creative fiction, poetry, or other imaginative text. Experiment with different temperature and top-p settings to find the right balance of creativity and coherence. You can also try fine-tuning the model on your own dataset to adapt it for your specific needs.
Updated Invalid Date
🌐
Meta-Llama-3-120B-Instruct-GGUF
46
Meta-Llama-3-120B-Instruct is a large language model created by the LM Studio community. It is a meta-model based on the Meta-Llama-3-70B-Instruct model, with expanded capabilities through self-merging. This model was inspired by other large-scale models like Goliath-120B, Venus-120B-v1.0, and MegaDolphin-120B. Model inputs and outputs Meta-Llama-3-120B-Instruct is a text-to-text model that takes in a prompt formatted with a system prompt, user input, and a placeholder for the assistant's response. The model's outputs are continuations of the provided prompt, generating coherent and contextual text. Inputs System prompt**: A prompt that sets the tone and context for the model's response User input**: The text that the user provides for the model to continue or respond to Outputs Assistant response**: The model's generated continuation of the provided prompt, adhering to the system prompt's instructions Capabilities Meta-Llama-3-120B-Instruct excels at creative writing tasks, showcasing a strong writing style and interesting, albeit sometimes unhinged, outputs. However, the model may struggle in more formal or analytical tasks compared to larger language models like GPT-4. What can I use it for? This model is well-suited for creative writing projects, such as short stories, poetry, or worldbuilding. The model's unique perspective and voice can add an interesting flair to your writing. While the model may not be the most reliable for tasks requiring factual accuracy or logical reasoning, it can be a valuable tool for sparking inspiration and exploring new creative directions. Things to try Try providing the model with a range of prompts, from simple story starters to more complex worldbuilding exercises. Observe how the model's responses evolve and the unique perspectives it brings to the table. Experiment with adjusting the temperature and other generation parameters to find the sweet spot for your desired style and content.
Updated Invalid Date
🔎
Llama-3.1-70B-Instruct-lorablated
50
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.
Updated Invalid Date
🤔
Meta-Llama-3-8B-Instruct
61
The Meta-Llama-3-8B-Instruct is part of the Meta Llama 3 family of large language models (LLMs) developed by NousResearch. This 8 billion parameter model is a pretrained and instruction-tuned generative text model, optimized for dialogue use cases. The Llama 3 instruction-tuned models are designed to outperform many open-source chat models on common industry benchmarks, while prioritizing helpfulness and safety. Model inputs and outputs Inputs The model takes text input only. Outputs The model generates text and code. Capabilities The Meta-Llama-3-8B-Instruct model is a versatile language generation tool that can be used for a variety of natural language tasks. It has been shown to perform well on common industry benchmarks, outperforming many open-source chat models. The instruction-tuned version is particularly adept at engaging in helpful and informative dialogue. What can I use it for? The Meta-Llama-3-8B-Instruct model is intended for commercial and research use in English. The instruction-tuned version can be used to build assistant-like chat applications, while the pretrained model can be adapted for a range of natural language generation tasks. Developers should review the Responsible Use Guide and consider incorporating safety tools like Meta Llama Guard 2 when deploying the model. Things to try Experiment with the model's dialogue capabilities by providing it with different types of prompts and personas. Try using the model to generate creative writing, answer open-ended questions, or assist with coding tasks. However, be mindful of potential risks and leverage the safety resources provided by the maintainers to ensure responsible deployment.
Updated Invalid Date