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HomeLLMsChattiny random OPTForCausalLM

tiny random OPTForCausalLM

by peft-internal-testing

Open source · 436k downloads · 0 likes

0.0
(0 reviews)ChatAPI & Local
About

The *tiny random OPTForCausalLM* model is a lightweight and randomized version of an OPT (Open Pre-trained Transformer) language model, designed to generate text in a causal manner—meaning it predicts the next word in a sequence. While its performance is constrained by its reduced size and random initialization, it can be used for simple tasks such as sentence completion, generating short responses, or rapid prototyping of NLP applications. Its use cases include experimentation, learning, or basic demonstrations, though it is not suitable for critical or precision-demanding applications. What sets it apart is its compactness and simplicity, making it ideal for testing or resource-constrained environments.

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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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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Capabilities & Tags
transformerssafetensorsopttext-generationtext-generation-inferenceendpoints_compatible
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CategoryChat
AccessAPI & Local
LicenseOpen Source
PricingOpen Source
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