Instructions to use deepnight-research/saily_100b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deepnight-research/saily_100b with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="deepnight-research/saily_100b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("deepnight-research/saily_100b")
model = AutoModelForCausalLM.from_pretrained("deepnight-research/saily_100b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use deepnight-research/saily_100b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "deepnight-research/saily_100b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepnight-research/saily_100b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/deepnight-research/saily_100b

SGLang

How to use deepnight-research/saily_100b with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "deepnight-research/saily_100b" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepnight-research/saily_100b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "deepnight-research/saily_100b" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepnight-research/saily_100b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use deepnight-research/saily_100b with Docker Model Runner:
```
docker model run hf.co/deepnight-research/saily_100b
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

SaiLy 100B (deepnight-research/saily_100B)

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.

*waiting for evals, the model is submitted on HuggingFace OpenLLM Leaderboard, and is currently in the pending list* Prompt Template: Alpaca

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!

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:

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.

Cheers✌️

Team DEEPNIGHT

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Safetensors

Model size

118B params

Tensor type

F16

Model tree for deepnight-research/saily_100b

Quantizations

2 models

Collection including deepnight-research/saily_100b

Saily_

Collection

These models are experimental. Most of them are uncensored. Please use with responsibility. • 4 items • Updated Mar 2 • 1