Llama-Spark is a powerful conversational AI model developed by Arcee.ai. It's built on the foundation of Llama-3.1-8B and merges the power of our Tome Dataset with Llama-3.1-8B-Instruct, resulting in a remarkable conversationalist that punches well above its 8B parameter weight class.
GGUFs available here
Model Description
Llama-Spark is our commitment to consistently delivering the best-performing conversational AI in the 6-9B parameter range. As new base models become available, we'll continue to update and improve Spark to maintain its leadership position.
This model is a successor to our original Arcee-Spark, incorporating advancements and learnings from our ongoing research and development.
Intended Uses
Llama-Spark is intended for use in conversational AI applications, such as chatbots, virtual assistants, and dialogue systems. It excels at engaging in natural and informative conversations.
Training Information
Llama-Spark is built upon the Llama-3.1-8B base model, fine-tuned using of the Tome Dataset and merged with Llama-3.1-8B-Instruct.
Acknowledgements
We extend our deepest gratitude to PrimeIntellect for being our compute sponsor for this project.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 24.90 |
| IFEval (0-Shot) | 79.11 |
| BBH (3-Shot) | 29.77 |
| MATH Lvl 5 (4-Shot) | 1.06 |
| GPQA (0-shot) | 6.60 |
| MuSR (0-shot) | 2.62 |
| MMLU-PRO (5-shot) | 30.23 |
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