---
license: apache-2.0
datasets:
- jeiku/Writing
- 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-v2
## Introduction
**Aura-MoE-2x4B-v2** 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 instruction data. The merge was then healed on 150 million tokens of roleplaying data. A Kahneman-Tversky Optimization was applied to the healed model to give it a unique output style.
By the numbers, this should be a direct improvement over **[Aura-MoE-2x4B](https://huggingface.co/AuraIndustries/Aura-MoE-2x4B)**
Developed by **Aura Industries**, with contributions from **Anthracite Org**
## Model Details
- **Model Name**: Aura-MoE-2x4B-v2
- **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
[Static GGUF](https://huggingface.co/mradermacher/Aura-MoE-2x4B-v2-GGUF)
[Imatrix GGUF](https://huggingface.co/mradermacher/Aura-MoE-2x4B-v2-i1-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
Click here for Mergekit and Axolotl configs
MoE Merge
```yaml
base_model: FourOhFour/Zenith_4B
gate_mode: random
dtype: bfloat16
experts_per_token: 1
experts:
- source_model: FourOhFour/Luxe_4B
- source_model: FourOhFour/Zenith_4B
```
SFT
```yaml
base_model: jeiku/MoEv2
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: FourOhFour/RP_Phase
type: chat_template
chat_template: chatml
roles_to_train: ["gpt"]
field_messages: conversations
message_field_role: from
message_field_content: value
train_on_eos: turn
- path: jeiku/Writing
type: completion
field: text
chat_template: chatml
shuffle_merged_datasets: true
dataset_prepared_path:
val_set_size: 0.01
output_dir: ./output/out
hub_model_id: jeiku/Aura-MoEv2
hub_strategy: "all_checkpoints"
push_dataset_to_hub:
hf_use_auth_token: true
sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len:
wandb_project: Aura-MoEv2
wandb_entity:
wandb_watch:
wandb_name: Aura-MoEv2
wandb_log_model:
gradient_accumulation_steps: 16
micro_batch_size: 2
num_epochs: 2
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 0.00005
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false
gradient_checkpointing: true
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:
weight_decay: 0.05
fsdp:
fsdp_config:
special_tokens:
pad_token: <|finetune_right_pad_id|>
```
KTO
```yaml
base_model: jeiku/Aura-MoEv2
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|>
```