|
--- |
|
license: apache-2.0 |
|
--- |
|
|
|
# **Meet 10.7B Solar: Elevating Performance with Upstage Depth UP Scaling!** |
|
|
|
|
|
# **Introduction** |
|
|
|
We introduce the first 10.7 billion (B) parameter model, SOLAR-10.7B. It's compact, yet remarkably powerful, and demonstrates unparalleled state-of-the-art performance in models with parameters under 30B. |
|
|
|
We developed the Depth Up-Scaling technique. Built on the Llama2 architecture, SOLAR-10.7B incorporates the innovative Upstage Depth Up-Scaling. We then integrated Mistral 7B weights into the upscaled layers, and finally, continued pre-training for the entire model. |
|
|
|
Depth-Upscaled SOLAR-10.7B has remarkable performance. It outperforms models with up to 30B parameters, even surpassing the recent Mixtral 8X7B model. For detailed information, please refer to the experimental table. |
|
Solar 10.7B is an ideal choice for fine-tuning. SOLAR-10.7B offers robustness and adaptability for your fine-tuning needs. Our simple instruction fine-tuning using the SOLAR-10.7B pre-trained model yields significant performance improvements ([SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0)). |
|
|
|
# **Evaluation Results** |
|
| Model | H6 | Model Size | |
|
|----------------------------------------|-------|------------| |
|
| **SOLAR-10.7B-Instruct-v1.0** | **74.20** | **~ 11B** | |
|
| mistralai/Mixtral-8x7B-Instruct-v0.1 | 72.62 | ~ 46.7B | |
|
| 01-ai/Yi-34B-200K | 70.81 | ~ 34B | |
|
| 01-ai/Yi-34B | 69.42 | ~ 34B | |
|
| mistralai/Mixtral-8x7B-v0.1 | 68.42 | ~ 46.7B | |
|
| meta-llama/Llama-2-70b-hf | 67.87 | ~ 70B | |
|
| tiiuae/falcon-180B | 67.85 | ~ 180B | |
|
| **SOLAR-10.7B-v1.0** | **66.04** | **~11B** | |
|
| mistralai/Mistral-7B-Instruct-v0.2 | 65.71 | ~ 7B | |
|
| Qwen/Qwen-14B | 65.86 | ~ 14B | |
|
| 01-ai/Yi-34B-Chat | 65.32 | ~34B | |
|
| meta-llama/Llama-2-70b-chat-hf | 62.4 | ~ 70B | |
|
| mistralai/Mistral-7B-v0.1 | 60.97 | ~ 7B | |
|
| mistralai/Mistral-7B-Instruct-v0.1 | 54.96 | ~ 7B | |
|
|
|
# **Usage Instructions** |
|
|
|
This model is pre-trained and is capable of just generating random text. To use it for chatting, you must fine-tune the model first. |
|
|
|
### **Version** |
|
|
|
Make sure you have the correct version of the transformers library installed: |
|
|
|
```sh |
|
pip install transformers==4.35.2 |
|
``` |
|
|
|
### **Loading the Model** |
|
|
|
Use the following Python code to load the model: |
|
|
|
```python |
|
import torch |
|
from transformers import AutoModelForCausalLM, AutoTokenizer |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("Upstage/SOLAR-10.7B-v1.0") |
|
model = AutoModelForCausalLM.from_pretrained( |
|
"Upstage/SOLAR-10.7B-v1.0", |
|
device_map="auto", |
|
torch_dtype=torch.float16, |
|
) |
|
``` |
|
|
|
### **Generating Text** |
|
|
|
To generate text, use the following Python code: |
|
|
|
```python |
|
text = "Hi, my name is " |
|
inputs = tokenizer(text, return_tensors="pt") |
|
|
|
outputs = model.generate(**inputs, max_new_tokens=64) |
|
print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
|
``` |
|
|
|
### **License** |
|
- [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0): apache-2.0 |
|
- [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0): cc-by-nc-4.0 |
|
- Since some non-commercial datasets such as Alpaca are used for fine-tuning, we release fine-tuned model as cc-by-nc-4.0. |
|
|
|
### **The Upstage AI Team** ### |
|
Upstage is creating the best LLM and DocAI. Please find more information at https://upstage.ai |
|
|
|
### **Contact Us** ### |
|
Any questions and suggestions, please use the discussion tab. If you want to contact us directly, drop an email to [[email protected] ](mailto:[email protected]) |
|
|
|
|
