SipsaLabs/qwen3-8b-uc-v3-bpw3

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Apr 29, 2026License:busl-1.1Architecture:Transformer Cold

SipsaLabs/qwen3-8b-uc-v3-bpw3 is an 8 billion parameter model based on Qwen/Qwen3-8B, developed by Sipsa Labs. This model features a 3-bit lossy compression, offering a significantly reduced size compared to its base model. It is designed for efficient deployment in resource-constrained environments where a trade-off between perplexity drift and model size is acceptable. The model provides cryptographically verifiable reconstruction and is independently perplexity-verified end-to-end.

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Model Overview

SipsaLabs/qwen3-8b-uc-v3-bpw3 is an 8 billion parameter language model derived from Qwen/Qwen3-8B, developed by Sipsa Labs using their UltraCompress technology. This version implements a 3-bit lossy compression, resulting in a smaller footprint suitable for efficient deployment.

Key Characteristics

  • 3-bit Compression: The model undergoes a 3-bit lossy compression, leading to a smaller model size but with a larger perplexity drift compared to higher-bit compression methods.
  • Reproducible Reconstruction: It offers a cryptographically verifiable and deterministic decode process, ensuring reconstruction to a SHA-256-pinned validated artifact.
  • Perplexity Verified: The model's end-to-end perplexity has been independently verified.
  • License: Licensed under BUSL-1.1 with an Additional Use Grant.

When to Use This Model

  • Resource-Constrained Environments: Ideal for applications where memory or computational resources are limited, and a smaller model size is prioritized.
  • Edge Devices: Suitable for deployment on edge devices or mobile applications due to its reduced size.
  • Cost-Sensitive Deployments: Can help reduce inference costs by requiring less computational power.

This model is best suited for use cases where the benefits of significant compression outweigh the impact of increased perplexity drift, offering a balance between performance and efficiency.