bigmoveintelligent/chatter-27b-v1.1
VISIONPricing:Input $1.6 / Cached $0.15 / Output $12Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 28, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
bigmoveintelligent/chatter-27b-v1.1 is a 27 billion parameter language model developed by bigmoveintelligent, finetuned from Qwen/Qwen3.5-27B. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster finetuning process. It is designed for general language tasks, leveraging its large parameter count and efficient training methodology to provide robust performance.
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Overview
bigmoveintelligent/chatter-27b-v1.1 is a 27 billion parameter language model, finetuned by bigmoveintelligent from the Qwen/Qwen3.5-27B base model. This model benefits from an optimized training process, utilizing Unsloth and Huggingface's TRL library, which enabled a 2x faster finetuning compared to standard methods.
Key Capabilities
- Efficient Finetuning: Achieves 2x faster finetuning due to the integration of Unsloth, making it more resource-efficient for custom applications.
- Robust Language Understanding: Built upon the Qwen3.5-27B architecture, providing strong capabilities for a wide range of natural language processing tasks.
Good For
- Developers seeking a powerful 27B parameter model with an Apache-2.0 license.
- Applications requiring a large language model that has undergone an accelerated and efficient finetuning process.
- General-purpose text generation, comprehension, and conversational AI where the base Qwen3.5-27B capabilities are desired with finetuning advantages.