yuxuanw8/qwen3b-rlvr-hotpot-checkpoint-180

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 11, 2026Architecture:Transformer Featherless Exclusive Cold

The yuxuanw8/qwen3b-rlvr-hotpot-checkpoint-180 is a 3.1 billion parameter language model. This model is based on the Qwen architecture and has a context length of 32768 tokens. Specific details regarding its training, primary differentiators, and intended use cases are not provided in the available model card.

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Model Overview

The yuxuanw8/qwen3b-rlvr-hotpot-checkpoint-180 is a 3.1 billion parameter language model. The model card indicates it is a Hugging Face transformers model, but specific details regarding its architecture, development, or fine-tuning are marked as "More Information Needed". It supports a substantial context length of 32768 tokens.

Key Characteristics

  • Parameter Count: 3.1 billion parameters.
  • Context Length: 32768 tokens, suggesting capability for processing long sequences.
  • Model Type: A language model, though its specific family or base model is not detailed.

Current Limitations

Due to the lack of detailed information in the provided model card, the following aspects are currently unknown:

  • The specific developer or organization behind this model.
  • The language(s) it is trained on.
  • Its licensing information.
  • Whether it was fine-tuned from another model.
  • Its intended direct or downstream use cases.
  • Any known biases, risks, or specific limitations beyond general recommendations for users to be aware of such issues.
  • Training data, procedure, hyperparameters, or evaluation results.

Users are advised that further information is needed to properly assess its capabilities, appropriate use cases, and potential limitations.

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