mfielding92/thefriend-27b-v3-qvo

VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 30, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The mfielding92/thefriend-27b-v3-qvo is a 27 billion parameter Qwen3.8-based language model developed by mfielding92. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its large parameter count and efficient finetuning process.

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Model Overview

The mfielding92/thefriend-27b-v3-qvo is a 27 billion parameter language model developed by mfielding92. It is finetuned from the unsloth/Qwen3.8-27B-unsloth-bnb-4bit base model, indicating its foundation in the Qwen3.8 architecture. A key aspect of this model's development is its training efficiency, having been finetuned 2x faster using the Unsloth library in conjunction with Huggingface's TRL library.

Key Characteristics

  • Base Model: Qwen3.8-27B architecture.
  • Parameter Count: 27 billion parameters, providing substantial capacity for complex language understanding and generation.
  • Training Efficiency: Utilizes Unsloth for accelerated finetuning, suggesting optimizations in the training process.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Potential Use Cases

Given its large parameter count and efficient finetuning, this model is suitable for a variety of general-purpose language tasks, including:

  • Text generation and completion.
  • Summarization.
  • Question answering.
  • Conversational AI applications.

Finetunes
2 models