Adzpro/ner_ai_race_vettel_v2
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 29, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Adzpro/ner_ai_race_vettel_v2 is a 4.5 billion parameter Qwen3.5-based causal language model developed by Adzpro. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language understanding and generation tasks, leveraging its efficient training methodology.
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Model Overview
Adzpro/ner_ai_race_vettel_v2 is a 4.5 billion parameter language model, fine-tuned by Adzpro from the Qwen3.5 base model. This iteration benefits from a significantly accelerated training process, achieved by utilizing Unsloth and Huggingface's TRL library, which enabled a 2x speedup in training.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3.5-4B. - Efficient Training: Leverages Unsloth for optimized and faster fine-tuning.
- Parameter Count: Features 4.5 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens.
Good For
- Developers seeking a Qwen3.5-based model with efficient fine-tuning origins.
- Applications requiring a capable language model with a large context window.
- Experimentation with models trained using Unsloth's accelerated methods.