Instructions to use xDAN-AI/xDAN-L1Mix-DeepThinking-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use xDAN-AI/xDAN-L1Mix-DeepThinking-v2 with Transformers:

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

pipe = pipeline("text-generation", model="xDAN-AI/xDAN-L1Mix-DeepThinking-v2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("xDAN-AI/xDAN-L1Mix-DeepThinking-v2")
model = AutoModelForCausalLM.from_pretrained("xDAN-AI/xDAN-L1Mix-DeepThinking-v2")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use xDAN-AI/xDAN-L1Mix-DeepThinking-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "xDAN-AI/xDAN-L1Mix-DeepThinking-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "xDAN-AI/xDAN-L1Mix-DeepThinking-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/xDAN-AI/xDAN-L1Mix-DeepThinking-v2

SGLang

How to use xDAN-AI/xDAN-L1Mix-DeepThinking-v2 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 "xDAN-AI/xDAN-L1Mix-DeepThinking-v2" \
    --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": "xDAN-AI/xDAN-L1Mix-DeepThinking-v2",
		"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 "xDAN-AI/xDAN-L1Mix-DeepThinking-v2" \
        --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": "xDAN-AI/xDAN-L1Mix-DeepThinking-v2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use xDAN-AI/xDAN-L1Mix-DeepThinking-v2 with Docker Model Runner:
```
docker model run hf.co/xDAN-AI/xDAN-L1Mix-DeepThinking-v2
```

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This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Metrics	Scores
Average	63.36
ARC	62.37
HellaSwag	82.32
MMLU	59.69
TruthfulQA	55.38
Winogrande	76.4
GSM8K	43.97

Created by xDAN-AI at 2023-11-18

Disclaimer

We employ data compliance checking algorithms during the training of our language model to strive for the highest degree of compliance. However, given the intricate nature of data and the vast array of potential usage scenarios for the model, we cannot assure that it will always generate correct and reasonable outputs. Users should be cognizant of the risk of the model producing problematic outputs. Our organization will not bear responsibility for any risks or issues stemming from misuse, misguidance, illegal use, and related misinformation, as well as any consequent data security concerns.

About xDAN-AI xDAN-AI is a top lead high-performance model factory. For detailed information and further insights into our cutting-edge technology and offerings, please visit our website: www.xdan.ai.

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