Glavin001/startup-interviews-13b-int4-2epochs-1
TEXT GENERATIONConcurrency Cost:1Model Size:13BQuant:FP8Ctx Length:4kArchitecture:Transformer0.0K Cold
Glavin001/startup-interviews-13b-int4-2epochs-1 is a 13 billion parameter causal language model based on the Llama architecture, fine-tuned from huggyllama/llama-13b using H2O LLM Studio. This model is designed for general text generation tasks, leveraging its Llama-based foundation for broad applicability. It processes inputs with a context length of 4096 tokens, making it suitable for various conversational and generative AI applications.
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Model Overview
This model, Glavin001/startup-interviews-13b-int4-2epochs-1, is a 13 billion parameter large language model built upon the huggyllama/llama-13b base architecture. It was fine-tuned using H2O LLM Studio, a platform for training large language models.
Key Capabilities
- General Text Generation: Capable of generating coherent and contextually relevant text based on given prompts.
- Llama Architecture: Benefits from the robust and widely recognized Llama model architecture.
- H2O LLM Studio Training: Indicates a structured and potentially optimized training process using the H2O.ai framework.
- Standard Inference: Supports standard text generation inference using the
transformerslibrary, with examples provided for direct use and custom pipeline construction.
Good For
- Exploratory AI Development: Suitable for developers looking to experiment with a Llama-based 13B model fine-tuned on a specific platform.
- General Purpose Language Tasks: Can be applied to a variety of tasks requiring text completion, question answering, or content generation.
- Integration with
transformers: Easy to integrate into existing Python projects leveraging the Hugging Facetransformerslibrary for quick deployment and testing.