nuhmanpk/preparebot-v2
TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 19, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
nuhmanpk/preparebot-v2 is a 2 billion parameter Qwen3-based causal language model developed by nuhmanpk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a 32768 token context length, it is optimized for efficient processing and generation tasks based on its Qwen3 architecture.
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Model Overview
nuhmanpk/preparebot-v2 is a 2 billion parameter language model built upon the Qwen3 architecture. Developed by nuhmanpk, this model distinguishes itself through its efficient fine-tuning process. It leverages Unsloth and Huggingface's TRL library, which facilitated a 2x acceleration in its training.
Key Characteristics
- Base Model: Qwen3-1.7B, providing a robust foundation for language understanding and generation.
- Efficient Training: Fine-tuned with Unsloth, significantly reducing training time and computational resources.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and maintaining coherence over extended conversations or documents.
Potential Use Cases
- Applications requiring efficient and fast inference from a Qwen3-based model.
- Tasks benefiting from a large context window, such as summarization of lengthy texts or complex question answering.
- Scenarios where a compact yet capable language model is preferred due to resource constraints or deployment considerations.