yuxuanw8/qwen3b-racpo-v2-fisher-acc-hotpot-2device-collate-0.9-0.1-checkpoint-7

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-7 is a 3.1 billion parameter language model developed by yuxuanw8. This model is based on the Qwen architecture and features a 32768 token context length. Its specific training and optimization details are not provided, but it is intended for general language generation tasks. The model's primary differentiator and specific use cases require further information.

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Overview

This model, yuxuanw8/qwen3b-racpo-v2-fisher-acc-hotpot-2device-collate-0.9-0.1-checkpoint-7, is a 3.1 billion parameter language model. It is built upon the Qwen architecture and supports a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text. The model is shared on the Hugging Face Hub, indicating its availability for various natural language processing applications.

Key Capabilities

  • Large Context Window: With a 32768 token context length, the model can handle extensive inputs and generate coherent, long-form responses.
  • General Language Generation: Designed for a broad range of language tasks, including text completion, summarization, and conversational AI.

Good for

  • Applications requiring processing of lengthy documents or conversations.
  • Developers looking for a moderately sized language model with a strong architectural foundation.
  • Exploratory research in language understanding and generation where a large context is beneficial.

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