migtissera/Llama-3-8B-Synthia-v3.5
Llama-3-8B-Synthia-v3.5 is an 8 billion parameter general-purpose Large Language Model developed by migtissera, fine-tuned for instruction following and long-form conversations. It was trained on the Synthia-v3.5 dataset, which includes varied system contexts, alongside other public datasets. This model is designed to act as a Synthetic Intelligent Agent, excelling in detailed conversational interactions with an 8192 token context length.
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Overview
migtissera/Llama-3-8B-Synthia-v3.5 is an 8 billion parameter general-purpose Large Language Model (LLM) fine-tuned for instruction following and engaging in long-form conversations. Developed by migtissera, this model was trained using the proprietary Synthia-v3.5 dataset, which incorporates diverse system contexts, supplemented by other publicly available datasets. Compute resources for its development were sponsored by KindoAI.
Key Capabilities
- Instruction Following: Designed to accurately interpret and execute user instructions.
- Long-Form Conversations: Optimized for extended, coherent, and detailed conversational exchanges.
- Synthetic Intelligent Agent: Functions as a versatile AI agent, capable of providing comprehensive responses.
Limitations & Biases
- The model may occasionally produce inaccurate or misleading information.
- Despite efforts in data refinement, there is a possibility of generating inappropriate, biased, or offensive content.
- Users are advised to exercise caution and cross-check information, as this is an uncensored model.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.