Adzpro/ner_ai_race_viettel_v4
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_viettel_v4 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, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its efficient training methodology.
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Overview
Adzpro/ner_ai_race_viettel_v4 is a 4.5 billion parameter language model, fine-tuned by Adzpro from the Qwen3.5-4B base model. This model distinguishes itself through its training efficiency, having been fine-tuned 2x faster using the Unsloth library in conjunction with Huggingface's TRL library. It operates under an Apache-2.0 license.
Key Capabilities
- Efficient Training: Leverages Unsloth for significantly faster fine-tuning.
- Qwen3.5 Architecture: Built upon the robust Qwen3.5 foundation.
- General Language Tasks: Suitable for a broad range of natural language processing applications.
Good For
- Developers seeking a Qwen3.5-based model with optimized training.
- Applications requiring a 4.5 billion parameter model for general text generation and understanding.
- Experimentation with models fine-tuned using Unsloth's accelerated training methods.