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 – Geode

⚠️ 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

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