---
license: apache-2.0
datasets:
- Mielikki/Erebus-87k
- FourOhFour/Instruct_Phase
- FourOhFour/RP_Phase
- anthracite-core/full-opus-chosen-hermes-rejected-kto-v1
language:
- en
base_model:
- IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml
---
## Aura-MoE-2x4B

![image/png](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/LpCTIR45g099eXDIwYmKa.png)

## Introduction

**Aura-MoE-2x4B** is a state of the art dedicated roleplaying model designed to fulfill your every desire.

The finetunes used in this merge saw several hundreds of millions of tokens of completion, instruction and roleplaying data. A Kahneman-Tversky Optimization was applied to both heal and give this model a unique output style.

This model can be considered inferior to [Aura-MoE-2x4B-v2](https://huggingface.co/AuraIndustries/Aura-MoE-2x4B-v2) which is a direct improvement.

Developed by **Aura Industries**, with contributions from **Anthracite Org**

## Model Details

- **Model Name**: Aura-MoE-2x4B
- **Base Model**: [IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml](https://huggingface.co/IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml)
- **Model Type**: Chat Completions
- **Prompt Format**: ChatML
- **License**: Apache-2.0
- **Language**: English
- **Max Context**: 8,192+ tokens

## License

This model is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).

## Quantizations

Due to the abnormal nature of this model, only static GGUF quantization is available. 

[Static GGUF](https://huggingface.co/mradermacher/Aura-MoE-2x4B-GGUF)

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)

Coming soon...

|      Metric       |Value|
|-------------------|----:|
|Avg.               |  N/A|
|IFEval (0-Shot)    |  N/A|
|BBH (3-Shot)       |  N/A|
|MATH Lvl 5 (4-Shot)|  N/A|
|GPQA (0-shot)      |  N/A|
|MuSR (0-shot)      |  N/A|
|MMLU-PRO (5-shot)  |  N/A|

## Training Configuration

<details><summary>Click here for Mergekit and Axolotl configs</summary>

MoE Merge

```yaml
base_model: FourOhFour/Crispy_Crab_4B
gate_mode: hidden
dtype: bfloat16
experts_per_token: 1
experts:
  - source_model: FourOhFour/Crispy_Crab_4B
    positive_prompts:
      - "Roleplaying partner"
  - source_model: FourOhFour/Zenith_4B
    positive_prompts:
      - "Instruction following assistant"
```

KTO

```yaml
base_model: jeiku/2x4Bmoe
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: false
strict: false

hub_model_id: jeiku/moekto
hub_strategy: "all_checkpoints"
push_dataset_to_hub:
hf_use_auth_token: true

chat_template: chatml

rl: kto
rl_beta: 0.2
kto_desirable_weight: 0.2

datasets:
  - path: anthracite-core/full-opus-chosen-hermes-rejected-kto-v1
    type: chatml.argilla

shuffle_merged_datasets: true
val_set_size: 0.0
output_dir: ./outputs/out

sequence_len: 8192
sample_packing: false
eval_sample_packing: false
pad_to_sequence_len: false

wandb_project: moekto
wandb_entity:
wandb_watch:
wandb_name: moekto
wandb_log_model:

gradient_accumulation_steps: 16
micro_batch_size: 2
num_epochs: 2
max_steps: 500

optimizer: adamw_8bit
lr_scheduler: cosine
learning_rate: 0.00001
weight_decay: 0.05

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true

gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: true
remove_unused_columns: false
early_stopping_patience:
resume_from_checkpoint: 
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 10
evals_per_epoch: 2
eval_table_size:
eval_max_new_tokens: 
saves_per_epoch: 1

debug:
deepspeed: 
fsdp:
fsdp_config:
fsdp:
fsdp_config:

special_tokens:
  pad_token: <|finetune_right_pad_id|>
```
</details><br>