llama-13b-lora
Maintainer: replicate
5
| Property | Value |
|---|---|
| Model Link | View on Replicate |
| API Spec | View on Replicate |
| Github Link | View on Github |
| Paper Link | View on Arxiv |
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Model overview
llama-13b-lora is a Transformers implementation of the LLaMA 13B language model, created by Replicate. It is a 13 billion parameter language model, similar to other LLaMA models like [object Object], [object Object], and [object Object]. Additionally, there are tuned versions of the LLaMA model for code completion, such as [object Object] and [object Object].
Model inputs and outputs
llama-13b-lora takes a text prompt as input and generates text as output. The model can be configured with various parameters to adjust the randomness, length, and repetition of the generated text.
Inputs
- Prompt: The text prompt to send to the Llama model.
- Max Length: The maximum number of tokens (generally 2-3 per word) to generate.
- Temperature: Adjusts the randomness of the outputs, with higher values being more random and lower values being more deterministic.
- Top P: Samples from the top p percentage of most likely tokens when decoding text, allowing the model to ignore less likely tokens.
- Repetition Penalty: Adjusts the penalty for repeated words in the generated text, with values greater than 1 discouraging repetition and values less than 1 encouraging it.
- Debug: Provides debugging output in the logs.
Outputs
- An array of generated text outputs.
Capabilities
llama-13b-lora is a large language model capable of generating human-like text on a wide range of topics. It can be used for tasks such as language modeling, text generation, question answering, and more. The model's capabilities are similar to other LLaMA models, but with the added benefits of the LORA (Low-Rank Adaptation) fine-tuning approach.
What can I use it for?
llama-13b-lora can be used for a variety of natural language processing tasks, such as:
- Generating creative content like stories, articles, or poetry
- Answering questions and providing information on a wide range of topics
- Assisting with tasks like research, analysis, and brainstorming
- Helping with language learning and translation
- Powering conversational interfaces and chatbots
Companies and individuals can potentially monetize llama-13b-lora by incorporating it into their products and services, such as Replicate's own offerings.
Things to try
With llama-13b-lora, you can experiment with different input prompts and model parameters to see how they affect the generated text. For example, you can try adjusting the temperature to create more or less random outputs, or the repetition penalty to control how much the model repeats words or phrases. Additionally, you can explore using the model for specific tasks like summarization, question answering, or creative writing to see how it performs.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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