rjmalagon / llama-spark

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README

Llama-Spark 是 Arcee.ai 开发的一个强大的对话式人工智能模型。它建立在 Llama-3.1-8B 的基础上，并且融合了我们的 Tome 数据集与 Llama-3.1-8B-Instruct 的能力，由此产生了一个显著优于其 8B 参数量的对话式人工智能。

模型描述

LLAMA-Spark 是我们致力于持续提供6-9B参数范围内性能最出色的对话式AI的承诺。随着新的基础模型变得可用，我们将继续更新和改进Spark，以保持其领导地位。

此模型是原Arcee-Spark的继任者，融合了我们持续研发中的创新和经验学习。

预期用途

LLAMA-Spark适用于对话式AI的应用，如聊天机器人、虚拟助手和对话系统。它擅长进行自然且信息丰富的对话。

训练信息

LLAMA-Spark建立在Llama-3.1-8B基础模型之上，使用Tome数据集进行微调，并与Llama-3.1-8B-Instruct合并。

评估结果

请注意，这些分数始终高于OpenLLM排行榜，并且应与相对性能提升相比较，而非与其他排行榜比较。

致谢

我们对此项目计算赞助商PrimeIntellect表示最深切的感谢。

https://hugging-face.cn/arcee-ai/Llama-Spark

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.

## 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.
## Evaluation Results
Please note that these scores are consistantly higher than the OpenLLM leaderboard, and should be compared to their relative performance increase not weighed against the leaderboard.
<div align="center">
  <img src="https://i.ibb.co/pfSGLtB/Screenshot-2024-08-01-at-11-40-42-PM.png" alt="Arcee Spark" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;">
</div>

## Acknowledgements

We extend our deepest gratitude to **PrimeIntellect** for being our compute sponsor for this project.

[https://hugging-face.cn/arcee-ai/Llama-Spark](https://hugging-face.cn/arcee-ai/Llama-Spark)

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