choiqs/Qwen3-1.7B-tldr-bsz128-ts300-regular-qrm-seed42-lr1e-6-warmup10-checkpoint25
The choiqs/Qwen3-1.7B-tldr-bsz128-ts300-regular-qrm-seed42-lr1e-6-warmup10-checkpoint25 model is a 2 billion parameter language model based on the Qwen3 architecture. This model is shared by choiqs and is likely a fine-tuned variant, though specific training details and its primary differentiator are not provided in the available documentation. Its intended use cases and unique capabilities are not explicitly detailed, suggesting it may be a base or experimental model.
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Model Overview
This model, choiqs/Qwen3-1.7B-tldr-bsz128-ts300-regular-qrm-seed42-lr1e-6-warmup10-checkpoint25, is a 2 billion parameter language model. It is based on the Qwen3 architecture and was shared by choiqs. The model card indicates it is a Hugging Face Transformers model, automatically generated upon pushing to the Hub.
Key Characteristics
- Parameter Count: Approximately 2 billion parameters.
- Architecture: Based on the Qwen3 model family.
- Context Length: Supports a context length of 32768 tokens.
Limitations and Further Information
As per the provided model card, specific details regarding its development, funding, exact model type, language(s), license, and finetuning origins are currently marked as "More Information Needed." Consequently, its direct use cases, downstream applications, and out-of-scope uses are not explicitly defined. Users should be aware that comprehensive information on bias, risks, limitations, training data, training procedure, and evaluation results is not yet available. Recommendations for use are pending further details from the developers.
How to Get Started
While specific usage examples are not provided in the model card, standard Hugging Face Transformers library methods would typically be used to load and interact with this model once more details become available.