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
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Model creator: Nexusflow
Original model: Athene-70B
GGUF quantization: provided by bartowski based on llama.cpp release b3412
Model Summary:
This is a finetune of Llama 3 70B finetuned on high-quality preference data for targeted Reinforcement Learning from Human Feedback.
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
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
🙏 Special thanks to Kalomaze for his dataset (linked here) for imatrix calibration.
Disclaimers
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