yuxuanw8/qwen3b-racpo-v2-fisher-acc-hotpot-2device-collate-0.9-0.1-checkpoint-210

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 1, 2026Architecture:Transformer Featherless Exclusive Cold

The yuxuanw8/qwen3b-racpo-v2-fisher-acc-hotpot-2device-collate-0.9-0.1-checkpoint-210 is a 3.1 billion parameter language model based on the Qwen architecture. This model is a checkpoint from a training run, indicating it is likely an intermediate or specialized version of a Qwen 3B model. Its primary use case would be for further fine-tuning or evaluation in research contexts, particularly for tasks where a compact yet capable Qwen-based model is desired.

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Overview

This model, yuxuanw8/qwen3b-racpo-v2-fisher-acc-hotpot-2device-collate-0.9-0.1-checkpoint-210, is a 3.1 billion parameter language model. It is presented as a checkpoint from a training process, suggesting it is an intermediate or specialized iteration of a Qwen 3B model. The model card indicates that further information regarding its development, specific model type, language support, and licensing is currently needed.

Key Capabilities

  • Qwen Architecture Base: Leverages the foundational architecture of the Qwen series, known for its general language understanding and generation capabilities.
  • Compact Size: With 3.1 billion parameters, it offers a relatively small footprint compared to larger models, making it suitable for resource-constrained environments or applications requiring faster inference.
  • Checkpoint Status: Functions as a specific snapshot from a training run, potentially offering unique characteristics or performance at that particular stage of development.

Good for

  • Research and Development: Ideal for researchers and developers looking to experiment with or build upon a specific checkpoint of a Qwen 3B model.
  • Further Fine-tuning: Can serve as a base for domain-specific fine-tuning, where its compact size could be advantageous for adapting to new tasks or datasets.
  • Evaluation: Suitable for evaluating the performance of a Qwen 3B variant at a particular training stage, especially in contexts related to its specific checkpoint name (e.g., 'racpo', 'fisher-acc', 'hotpot').

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