yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_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_adaKL_reg1_neggamma0_checkpoint-175 is a 4 billion parameter model with a 32768 token context length. This model is a Hugging Face Transformers model, automatically generated and pushed to the Hub. Further details regarding its architecture, training, and specific use cases are not provided in the available model card.
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Model Overview
This model, yunjae-won/OPSD_4b_noclip_default_lr1e-5_bs128_adaKL_reg1_neggamma0_checkpoint-175, is a 4 billion parameter model hosted on the Hugging Face Hub. It features a substantial context length of 32768 tokens, indicating its potential for processing lengthy inputs.
Key Capabilities
- Large Context Window: With a 32768 token context length, the model is designed to handle extensive textual information, which can be beneficial for tasks requiring broad contextual understanding.
- Hugging Face Transformers Integration: As a Hugging Face Transformers model, it is compatible with the ecosystem's tools and libraries, facilitating ease of use and deployment within existing ML workflows.
Good for
- Exploratory Research: Given the limited information, this model is suitable for researchers and developers looking to experiment with a 4 billion parameter model with a large context window, potentially for tasks where long-range dependencies are critical.
- Integration into Hugging Face Pipelines: Users already working within the Hugging Face ecosystem will find this model straightforward to integrate and utilize for various NLP tasks, provided its specific capabilities align with their needs.