yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg0.1_checkpoint-175

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_reg0.1_checkpoint-175 is a 4 billion parameter language model with a context length of 32768 tokens. This model is a checkpoint from an unspecified base architecture, developed by yunjae-won. Due to the lack of specific details in its model card, its primary differentiators and optimized use cases are not explicitly defined.

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Model Overview

This model, yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_KLEff_reg0.1_checkpoint-175, is a 4 billion parameter language model with a substantial context length of 32768 tokens. It represents a specific checkpoint in a training process, developed by yunjae-won.

Key Characteristics

  • Parameter Count: 4 billion parameters.
  • Context Length: Supports a context window of 32768 tokens.
  • Development: Developed by yunjae-won.

Limitations and Information Gaps

Currently, the model card indicates that significant information is needed regarding its specific architecture, training data, intended uses, performance benchmarks, and potential biases or limitations. This makes it challenging to determine its unique capabilities or optimal applications without further details from the developer.

Usage Recommendations

Given the limited information, users should exercise caution and conduct thorough evaluations before deploying this model for specific tasks. Further details on its training, evaluation, and intended use cases are required to provide concrete recommendations.