Emiliosbs/Ben1.1-Uncensored
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 12, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
BananaAdmin/Ben1.1-Uncensored is a 1.5 billion parameter Qwen2.5-Coder-Instruct model developed by BananaAdmin, fine-tuned using Unsloth and Huggingface's TRL library. This model is optimized for coding tasks, leveraging its base architecture for efficient code generation and understanding. It features a 32768 token context length, making it suitable for processing longer code sequences and complex programming instructions.
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Model Overview
BananaAdmin/Ben1.1-Uncensored is a 1.5 billion parameter language model, fine-tuned by BananaAdmin from the unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit base model. This model was developed with a focus on efficiency, utilizing Unsloth and Huggingface's TRL library for faster training.
Key Capabilities
- Code Generation: Inherits the coding capabilities of its Qwen2.5-Coder base, making it suitable for generating and understanding code.
- Instruction Following: Designed to follow instructions effectively, particularly in programming contexts.
- Efficient Training: Benefits from Unsloth's optimizations, allowing for quicker fine-tuning processes.
- Extended Context: Features a 32768 token context length, enabling it to handle more extensive code snippets and detailed programming prompts.
Good For
- Code-related tasks: Ideal for applications requiring code generation, completion, or analysis.
- Developers: Useful for integrating into development workflows where a compact yet capable coding model is needed.
- Research: Provides a base for further experimentation and fine-tuning on specific coding datasets.