yuq-zhou/2026-05-o-b0p3-a0p5-gc0p5-exp-td8p0-tw10p0-mbz-bridge-q3-1p7b

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 13, 2026Architecture:Transformer Featherless Exclusive Cold

The yuq-zhou/2026-05-o-b0p3-a0p5-gc0p5-exp-td8p0-tw10p0-mbz-bridge-q3-1p7b is a 2 billion parameter model checkpoint, provided in standard HuggingFace format. This model is a research artifact backup, designed for causal language modeling tasks. With a context length of 32768 tokens, it is suitable for applications requiring processing of extensive input sequences. Its primary utility lies in serving as a foundational checkpoint for further research and development.

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Model Overview

The yuq-zhou/2026-05-o-b0p3-a0p5-gc0p5-exp-td8p0-tw10p0-mbz-bridge-q3-1p7b is a 2 billion parameter model checkpoint, made available in the standard HuggingFace format for AutoModelForCausalLM.from_pretrained.

Key Characteristics

  • Parameter Count: 2 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a substantial context window of 32768 tokens, enabling the processing of long sequences.
  • Format: Provided in a widely compatible HuggingFace format, facilitating easy integration into existing workflows.

Intended Use

This model is primarily designated as a research artifact backup. It serves as a foundational checkpoint for researchers and developers to build upon, experiment with, or analyze. Its design as a causal language model makes it suitable for tasks such as text generation, completion, and understanding within its specified context window. Users should consider its origin as a research artifact when evaluating its suitability for specific production environments or fine-tuning efforts.

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