yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-150

TEXT GENERATIONConcurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 14, 2026Architecture:Transformer Featherless Exclusive Cold

yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-150 is a 4 billion parameter language model developed by yunjae-won. This model has a context length of 32768 tokens. Due to the lack of specific details in its model card, its primary differentiators and specific use cases are not explicitly defined. Further information is needed to determine its optimized applications or unique capabilities compared to other LLMs.

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Model Overview

This model, yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-150, is a 4 billion parameter language model with a substantial context length of 32768 tokens. It was developed by yunjae-won.

Key Characteristics

  • Parameter Count: 4 billion parameters.
  • Context Length: Supports a context window of 32768 tokens.

Current Limitations

Based on the provided model card, specific details regarding the model's architecture, training data, intended use cases, performance benchmarks, and unique capabilities are currently marked as "More Information Needed." This means that its particular strengths, ideal applications, and how it differentiates from other models are not yet defined. Users should be aware that without further information, the model's suitability for specific tasks cannot be fully assessed. Recommendations regarding bias, risks, and limitations are also pending more detailed information.