by trl-internal-testing
Open source · 411k downloads · 8 likes
The *tiny random LlamaForCausalLM* model is a lightweight and randomized version of the well-known Llama model, specifically designed for causal text generation. While its performance is not optimized for precise tasks, it can produce varied and creative responses from simple prompts. Its primary use cases include content generation, rapid experimentation, or learning the mechanisms of language models. What sets it apart is its simplicity and efficiency, making it ideal for testing or demonstrations without requiring significant resources.
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Use the code below to get started with the model.
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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