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HomeLLMstiny Qwen2ForCausalLM 2.5

tiny Qwen2ForCausalLM 2.5

by trl-internal-testing

Open source · 6M downloads · 5 likes

1.0
(5 reviews)ChatAPI & Local
About

The Tiny Qwen2ForCausalLM model is a lightweight version specifically designed for unit testing within the TRL library. It is a causal language model optimized for text generation tasks, capable of producing coherent and relevant responses in various contexts. Despite its reduced size, it retains the essential features of an advanced language model, providing a reliable foundation for validating integrations or pipelines. Its primary use cases include testing functionalities, validating workflows, and evaluating performance in controlled environments. This model stands out for its lightness and simplicity while remaining representative of the capabilities of the Qwen2 family.

Documentation

Tiny Qwen2ForCausalLM

This is a minimal model built for unit tests in the TRL library.

Capabilities & Tags
transformerssafetensorsqwen2text-generationtrlconversationaltext-generation-inferenceendpoints_compatible
Links & Resources
Specifications
CategoryChat
AccessAPI & Local
LicenseOpen Source
PricingOpen Source
Rating
1.0

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