yuxuanw8/qwen3b-racpo-v2-fisher-acc-hotpot-2device-collate-0.75-0.25-checkpoint-150

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 29, 2026Architecture:Transformer Featherless Exclusive Cold

The yuxuanw8/qwen3b-racpo-v2-fisher-acc-hotpot-2device-collate-0.75-0.25-checkpoint-150 model is a 3.1 billion parameter language model developed by yuxuanw8. It is fine-tuned from an unspecified base model, featuring a substantial context length of 32768 tokens. This model is designed for general language understanding and generation tasks, with its specific differentiators and primary use cases requiring further information from its developers.

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Model Overview

This model, yuxuanw8/qwen3b-racpo-v2-fisher-acc-hotpot-2device-collate-0.75-0.25-checkpoint-150, is a 3.1 billion parameter language model developed by yuxuanw8. It is characterized by its large context window of 32768 tokens, suggesting potential for processing and generating longer sequences of text.

Key Characteristics

  • Parameter Count: 3.1 billion parameters.
  • Context Length: Supports a substantial context of 32768 tokens, enabling the model to handle extensive inputs and maintain coherence over long conversations or documents.
  • Developer: yuxuanw8.

Usage and Limitations

Currently, specific details regarding the model's training data, fine-tuning procedures, intended direct uses, and performance benchmarks are marked as "More Information Needed" in the provided model card. Therefore, its precise capabilities, optimal use cases, and potential limitations are not yet fully documented. Users are advised to consult future updates to the model card for comprehensive guidance on its application, biases, risks, and recommendations for use.