File size: 5,124 Bytes
b351190 4b0eb49 b351190 d3cf0c9 b351190 f15c260 b351190 8a0a039 b351190 f15c260 b351190 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 |
---
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
<details><summary>Click here for Mergekit and Axolotl configs</summary>
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|>
```
</details><br> |