LorenaYannnnn/unsafe_compliance-Qwen3-0.6B-baseline_all_tokens-seed_2
The LorenaYannnnn/unsafe_compliance-Qwen3-0.6B-baseline_all_tokens-seed_2 is a 0.8 billion parameter language model based on the Qwen3 architecture. This model is a baseline version, trained with all tokens and a specific seed, indicating a foundational or experimental stage. Its primary characteristics and specific optimizations are not detailed in the provided information, suggesting it may be a general-purpose model or a base for further fine-tuning.
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Model Overview
This model, named unsafe_compliance-Qwen3-0.6B-baseline_all_tokens-seed_2, is a 0.8 billion parameter language model built upon the Qwen3 architecture. The provided model card indicates it is a baseline version, trained using all available tokens and a specific seed for reproducibility. As a foundational model, its specific capabilities and differentiators are not explicitly detailed in the current documentation, suggesting it may serve as a general-purpose language model or a starting point for specialized applications.
Key Characteristics
- Architecture: Qwen3-based model.
- Parameter Count: 0.8 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
- Training: Described as a "baseline" model, trained with "all tokens" and a specific "seed_2", implying a standard or initial training configuration.
Limitations and Recommendations
The model card explicitly states "More Information Needed" across various sections, including its intended uses, biases, risks, and limitations. Users are advised that they "should be made aware of the risks, biases and limitations of the model," and further recommendations require more detailed information. This suggests that the model's specific performance characteristics, potential biases, and suitable applications are yet to be fully documented or evaluated.