Llama 2 13b Embeddings
The Llama2 13B with embedding output AI model is specialized in converting text-to-text and generating embeddings. This machine learning model accepts multiple phrases separated with a distinct prompt separator, which in this case is a double newline ("\n\n"). The output is an array of embeddings, representing the text inputs in a numerical form which machines can understand. This AI model could be potentially useful and versatile in various natural language processing tasks. For instance, these embeddings could aid in text similarity analysis, sentiment analysis, or recommendation systems development based on text input. A practical use case could be incorporating this model into a news aggregator platform that clusters related articles based on textual similarity. The embeddings could be used to predict and group articles with similar topics together, improving the user browsing experience. Other potential applications include voice assistants where the model can convert spoken instructions into embeddings and compare them with programmed voice command embeddings to execute the specific task. In the area of product recommendations, this model's embeddings can be used to determine textual similarities between product descriptions, customer reviews, and user queries, enhancing the accuracy of product suggestions. Overall, the Llama2 13B with embedding output AI model opens doors for a variety of text-to-text related applications in fields such as digital marketing, customer service, media, and e-commerce.
- Cost per run
- Avg run time
|Codellama 7b Instruct Gguf||$?||46|
|Llama 2 13b Chat Gguf||$?||1,352|
|Codellama 34b Instruct Gguf||$?||60|
|Llama 2 7b Embeddings||$?||30|
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Summary of this model and related resources.
|Model Name||Llama 2 13b Embeddings|
Llama2 13B with embedding output
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||No paper link provided|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$-|
|Average Completion Time||-|