Emiliosbs/Ben1.1-Uncensored
Emiliosbs/Ben1.1-Uncensored is a 1.5 billion parameter instruction-tuned causal language model developed by BananaAdmin, fine-tuned from unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit. This model features a 32768 token context length and is designed for general-purpose conversational AI. Its uncensored nature allows for broader applicability in various dialogue systems and content generation tasks.
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Model Overview
Emiliosbs/Ben1.1-Uncensored is a 1.5 billion parameter language model developed by BananaAdmin. It is instruction-tuned and built upon the unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit base model, inheriting its capabilities and further refining them for conversational applications. The model supports a substantial context length of 32768 tokens, enabling it to handle extensive dialogues and complex prompts.
Key Characteristics
- Parameter Count: 1.5 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: A generous 32768 tokens, suitable for processing long inputs and maintaining conversational coherence over extended interactions.
- Base Model: Fine-tuned from
unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit, suggesting a foundation in code-related tasks which may translate to strong logical reasoning. - Uncensored Nature: Designed without explicit content filters, providing flexibility for use cases that require unrestricted language generation, while users should exercise caution and responsibility.
Use Cases
This model is particularly well-suited for:
- General-purpose conversational AI: Its instruction-tuned nature makes it effective for chatbots and dialogue systems.
- Content generation: Capable of generating diverse text outputs without typical content restrictions.
- Exploratory AI applications: Ideal for developers and researchers experimenting with less constrained language models.