yunjae-won/mpq3_qwen4bi_sft_dpo_beta1e-1_step1792

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Apr 6, 2026Architecture:Transformer Warm

The yunjae-won/mpq3_qwen4bi_sft_dpo_beta1e-1_step1792 model is a 4 billion parameter language model. This model is shared by yunjae-won and is based on the Qwen architecture. Further details regarding its specific fine-tuning, primary differentiators, and intended use cases are not provided in the available model card.

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Overview

This model, yunjae-won/mpq3_qwen4bi_sft_dpo_beta1e-1_step1792, is a 4 billion parameter language model shared by yunjae-won. The model card indicates it is a Hugging Face transformers model, but specific details regarding its architecture, training data, and fine-tuning objectives are currently marked as "More Information Needed".

Key Capabilities

  • The model is a language model, implying capabilities in text generation and understanding.
  • It is a 4 billion parameter model, suggesting a balance between performance and computational efficiency.

Good For

  • Given the lack of specific information, its suitability for particular use cases cannot be definitively stated. Users should consult the model developer for intended applications.

Limitations

  • The model card explicitly states "More Information Needed" across various sections, including its development, funding, model type, language(s), license, finetuning source, direct use, downstream use, out-of-scope use, bias, risks, limitations, training data, training procedure, evaluation, and technical specifications. This indicates that comprehensive details about its performance, biases, and optimal applications are not yet available.