---
base_model: Nexusflow/Athene-70B
language:
- en
library_name: transformers
license: cc-by-nc-4.0
pipeline_tag: text-generation
tags:
- RLHF
- Nexusflow
- Athene
- Chat Model
quantized_by: bartowski
lm_studio:
  param_count: 70b
  use_case: chat
  release_date: 19-07-2024
  model_creator: Nexusflow
  prompt_template: Llama 3
  base_model: llama
  original_repo: Nexusflow/Athene-70B
---
## 💫 Community Model> Athene 70B by Nexusflow

*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.

**Model creator:** [Nexusflow](https://huggingface.co/Nexusflow)<br>
**Original model**: [Athene-70B](https://huggingface.co/Nexusflow/Athene-70B)<br>
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b3412](https://github.com/ggerganov/llama.cpp/releases/tag/b3412)<br>

## Model Summary:
This is a finetune of Llama 3 70B finetuned on high-quality preference data for targeted Reinforcement Learning from Human Feedback.<br>
With this training, Nexusflow has achieved large improvements in several areas, such as instruction following, math, coding, creative writing, and multilingual capabilities.

## Prompt template:

Choose the `Llama 3` preset in your LM Studio.

Under the hood, the model will see a prompt that's formatted like so:

```
<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
```

## Technical Details

Nexusflow created a rigorous benchmark to evaluate model capabilities across a range of tasks and categories, and with the results of those tests, developed a dataset for RLHF training.

Built on top of the success of Starling LM, a great performing 7B model, this tune shows large improvements over the default Llama 3 release.

For more details, check their blog post [here](https://nexusflow.ai/blogs/athene)

## Special thanks

🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.

🙏 Special thanks to [Kalomaze](https://github.com/kalomaze) for his dataset (linked [here](https://github.com/ggerganov/llama.cpp/discussions/5263)) for imatrix calibration.

## Disclaimers

LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model.  You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models.  LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.