Instructions to use arthu1/wind-arc-1-5-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arthu1/wind-arc-1-5-preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="arthu1/wind-arc-1-5-preview")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arthu1/wind-arc-1-5-preview", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use arthu1/wind-arc-1-5-preview with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "arthu1/wind-arc-1-5-preview" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "arthu1/wind-arc-1-5-preview", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/arthu1/wind-arc-1-5-preview
- SGLang
How to use arthu1/wind-arc-1-5-preview 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 "arthu1/wind-arc-1-5-preview" \ --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": "arthu1/wind-arc-1-5-preview", "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 "arthu1/wind-arc-1-5-preview" \ --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": "arthu1/wind-arc-1-5-preview", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use arthu1/wind-arc-1-5-preview with Docker Model Runner:
docker model run hf.co/arthu1/wind-arc-1-5-preview
Wind Arc 1.5 β Preview
An early experimental release from the Wind Arc line. This model is significantly behind Wind Edge 1.6 β treat it as a research artifact, not a usable assistant.
North ML Β· Wind Edge 1.6 β Geode
β οΈ Preview release. Underperforms Wind Edge 1.6 by roughly 50% across benchmarks. Not recommended for any practical use.
Overview
Wind Arc 1.5 Preview exists to document an early training run and architectural experiment. It is not a capable model by any standard measure. Published for transparency and research continuity β the stable Wind Arc line will be a full rebuild.
Benchmark Results
| Task | Score | Notes |
|---|---|---|
| MMLU (boosted) | 0.08 / 1.00 | Boosted eval with few-shot scaffolding |
On MMLU: 0.08 on a boosted protocol means near-random performance even with prompt engineering assistance. Raw 0-shot will score lower. Wind Edge 1.6 scores roughly 2Γ this across comparable tasks. This model is not competitive.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("arthu1/wind-arc-1-5-preview")
tokenizer = AutoTokenizer.from_pretrained("arthu1/wind-arc-1-5-preview")
inputs = tokenizer("You are Wind Arc, a helpful AI assistant.\nUser: ", return_tensors="pt")
output = model.generate(**inputs, max_new_tokens=512, temperature=0.6, top_p=0.9)
print(tokenizer.decode(output[0], skip_special_tokens=True))
Chat Template
<|im_start|>system
You are Wind-Arc-1.5, a compact AI assistant model. You are not a human.<|im_end|>
<|im_start|>user
{your message}<|im_end|>
<|im_start|>assistant
<think>
</think>
Why Publish This?
Wind Arc 1.5 Preview is published as a training checkpoint for research reference. The gap between this and Wind Edge 1.6 informs the architectural changes planned for the stable Wind Arc release.
Model Details
| Property | Value |
|---|---|
| Architecture | Causal LM (decoder-only) |
| Status | Preview / Experimental |
| Org | north-ml1 |
License
MIT