yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg0.5_checkpoint-75

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

The yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg0.5_checkpoint-75 is a 4 billion parameter language model developed by yunjae-won, with a context length of 32768 tokens. This model is a checkpoint from a training run, indicating it is likely part of a larger development process. Its specific architecture, training data, and primary differentiators are not detailed in the provided information, suggesting it may be a base model or an intermediate fine-tune.

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Model Overview

This model, yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg0.5_checkpoint-75, is a 4 billion parameter language model developed by yunjae-won. It features a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text. As a checkpoint from a training run, it represents a specific stage in the model's development.

Key Characteristics

  • Parameter Count: 4 billion parameters.
  • Context Length: 32768 tokens, enabling extensive context understanding.
  • Development Stage: Identified as a training checkpoint, suggesting ongoing development or a specific experimental iteration.

Usage Considerations

Due to the limited information provided in the model card, specific direct or downstream use cases, as well as detailed training data, architecture, and evaluation results, are not available. Users should be aware of these limitations and the potential for biases or risks inherent in large language models. Further information is needed to determine optimal applications and to understand its performance characteristics fully.