PS4Research/F0BFJZHiZgOCUXPC
TEXT GENERATIONPricing:Input $0.28 / Output $0.56Concurrent Unit Cost:1Model Size:14.7BQuant:FP8Context Size:32kPublished:Oct 14, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
PS4Research/F0BFJZHiZgOCUXPC is a 14.7 billion parameter Phi-3 model developed by PS4Research, fine-tuned from unsloth/phi-4-reasoning-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. With a context length of 32768 tokens, it is optimized for efficient reasoning tasks.
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Overview
PS4Research/F0BFJZHiZgOCUXPC is a 14.7 billion parameter language model developed by PS4Research. It is fine-tuned from the unsloth/phi-4-reasoning-unsloth-bnb-4bit model, leveraging the Phi-3 architecture. This model was specifically trained using the Unsloth framework and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
Key Capabilities
- Efficient Training: Benefits from Unsloth's optimizations, resulting in significantly faster fine-tuning.
- Reasoning Focus: Inherits capabilities from its base model, suggesting an aptitude for reasoning tasks.
- Extended Context: Supports a substantial context length of 32768 tokens, allowing for processing longer inputs and maintaining coherence over extended interactions.
Good For
- Applications requiring a Phi-3 based model with enhanced training efficiency.
- Tasks that benefit from a large context window, such as complex document analysis or multi-turn conversations.
- Developers looking for a model fine-tuned with Unsloth for potentially improved performance or specific task optimizations.