Lachhhhhhh/un-ablit-q-125st

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 30, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Lachhhhhhh/un-ablit-q-125st is an 8 billion parameter Qwen3-based language model developed by Lachhhhhhh. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for efficient performance, leveraging its Qwen3 architecture and accelerated training methodology.

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Model Overview

Lachhhhhhh/un-ablit-q-125st is an 8 billion parameter language model based on the Qwen3 architecture. Developed by Lachhhhhhh, this model was fine-tuned from huihui-ai/Huihui-Qwen3-8B-abliterated-v2.

Key Characteristics

  • Efficient Training: This model was fine-tuned with Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
  • Qwen3 Foundation: Built upon the Qwen3 architecture, it inherits the capabilities and performance characteristics of its base model.
  • Parameter Count: With 8 billion parameters, it offers a balance between performance and computational requirements.

Use Cases

This model is suitable for applications where efficient fine-tuning and a robust Qwen3-based foundation are beneficial. Its accelerated training process makes it a good candidate for developers looking to quickly adapt a powerful language model for specific tasks.

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