aloobun/tinyllama_0_16_trismegistus_v1

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.1BQuant:BF16Context Size:2kPublished:Oct 27, 2023License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The aloobun/tinyllama_0_16_trismegistus_v1 is a 1.1 billion parameter causal language model developed by aloobun. With a context length of 2048 tokens, this model is currently a work in progress and intended for testing purposes. Its compact size makes it suitable for applications requiring efficient inference and deployment on resource-constrained environments.

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Model Overview

The aloobun/tinyllama_0_16_trismegistus_v1 is a compact causal language model with approximately 1.1 billion parameters. Developed by aloobun, this model is currently in a work-in-progress state and is primarily intended for testing and experimental use. It features a context window of 2048 tokens, allowing it to process moderately sized inputs.

Key Characteristics

  • Parameter Count: Approximately 1.1 billion parameters, making it a relatively small and efficient model.
  • Context Length: Supports a context window of 2048 tokens.
  • Development Status: Marked as a work in progress, indicating ongoing development and potential for future updates.

Intended Use Cases

Given its current development status and compact size, this model is particularly suited for:

  • Experimental Prototyping: Ideal for developers and researchers to test new ideas and concepts with a smaller, faster-to-iterate model.
  • Resource-Constrained Environments: Its low parameter count makes it suitable for deployment on devices or platforms with limited computational resources.
  • Early-Stage Application Development: Can be used to build and test basic functionalities of LLM-powered applications before scaling up to larger models.

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