README.md

---
license: mit
license_name: deepnight-responsible-ai
license_link: LICENSE
---

# SaiLy 100B (deepnight-research/saily_100B)
<img src="https://i.ibb.co/TvZQjZM/Leonardo-Diffusion-XL-Furious-and-strong-Elephant-and-anchor-l-1.jpg" alt="Saily: Experimental AI Models by DEEPNIGHT">

---
### SaiLy is a series/collection of AI Models by DEEPNIGHT-RESEARCH which are highly experimental and uncensored. Please use with responsibility.
---
<br>
Prompt Template: Alpeca

```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
```

### Description:
This is the first *stable* model of the series. The model is based on Llama2-chat.

---

### Did some said CODE?
Here you go!
```python
import transformers
model = transformers.AutoModelForCausalLM.from_pretrained(
  'deepnight-research/saily_100B'
)
```

To use the optimized triton implementation of FlashAttention, you can load the model on GPU ```(cuda:0)``` with ```attn_impl='triton'``` and with ```bfloat16``` precision:
```python
import torch
import transformers

name = 'deepnight-research/saily_100B'

config = transformers.AutoConfig.from_pretrained(name)
config.attn_config['attn_impl'] = 'triton'
config.init_device = 'cuda:0' # For fast initialization directly on GPU!

model = transformers.AutoModelForCausalLM.from_pretrained(
  name,
  config=config,
  torch_dtype=torch.bfloat16, # Load model weights in bfloat16
  trust_remote_code=True
)

```
---

If you would like to support us, please consider donating for [#aiforcause](https://github.com/deepnight-ai/aiforcause).

Cheers✌️
- Team [DEEPNIGHT](https://deepnight.tech)