|
--- |
|
license: apache-2.0 |
|
tags: |
|
- mergekit |
|
- mistralai/Mistral-7B-Instruct-v0.2 |
|
- mistralai/Mistral-7B-Instruct-v0.2 |
|
base_model: |
|
- mistralai/Mistral-7B-Instruct-v0.2 |
|
- mistralai/Mistral-7B-Instruct-v0.2 |
|
--- |
|
|
|
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/CHx9TxNMX79pEm2WO2jXg.png) |
|
|
|
# Aurora-10.7b_Base |
|
|
|
Aurora-10.7b_Base is a merge of the following models: to create a 10.7b base model that can be trained. |
|
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) |
|
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) |
|
|
|
## Merged Evals: (Has Not Been Finetuned) |
|
Aurora-10.7b_Base |
|
* Avg: 63.98 |
|
* ARC: 62.88 |
|
* HellaSwag: 83.99 |
|
* MMLU: 60.24 |
|
* T-QA: 67.84 |
|
* Winogrande: 76.4 |
|
* GSM8K: 32.52 |
|
|
|
|
|
## (OG)Donated Evals: |
|
Mistral-7b-v0.2 |
|
* Avg: 65.71 |
|
* ARC: 63.14 |
|
* HellaSwag: 84.88 |
|
* MMLU: 60.78 |
|
* T-QA: 68.26 |
|
* Winogrande: 77.19 |
|
* GSM8K: 40.03 |
|
|
|
## 🧩 Configuration |
|
|
|
``` |
|
slices: |
|
- sources: |
|
- model: mistralai/Mistral-7B-Instruct-v0.2 |
|
layer_range: [0, 24] |
|
- sources: |
|
- model: mistralai/Mistral-7B-Instruct-v0.2 |
|
layer_range: [8, 32] |
|
merge_method: passthrough |
|
dtype: bfloat16 |
|
``` |
|
|
|
## 💻 Usage |
|
|
|
```python |
|
!pip install -qU transformers accelerate |
|
|
|
from transformers import AutoTokenizer |
|
import transformers |
|
import torch |
|
|
|
model = "Steelskull/Aurora_base_test" |
|
messages = [{"role": "user", "content": "What is a large language model?"}] |
|
|
|
tokenizer = AutoTokenizer.from_pretrained(model) |
|
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
|
pipeline = transformers.pipeline( |
|
"text-generation", |
|
model=model, |
|
torch_dtype=torch.float16, |
|
device_map="auto", |
|
) |
|
|
|
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
|
print(outputs[0]["generated_text"]) |
|
``` |