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Stack 4.0 — Omni-Nexus Agentic

The first open-source agentic model deployable for free on Cloudflare Workers AI.

Built on Meta Llama 3.1 8B, fine-tuned with agentic tool-use examples and reasoning traces.

Training Data

  • 55,000 agentic examples with tool calls, reasoning traces, and task completion loops — hosted on HuggingFace Dataset
  • 60,000 Stack 3.0 training examples reformatted for Llama chat template
  • SWE-bench task completion examples

Benchmark Targets

Benchmark Llama 3.1 Base + Stack 4.0 LoRA Target
HumanEval ~62% TBD >70%
MMLU ~68% TBD >72%
ARC-C ~65% TBD >70%
MBPP ~65% TBD >72%

Agentic Training

Stack 4.0 is trained not just to respond — but to complete tasks:

  • Plan — break tasks into steps
  • Use tools — file read/write, terminal, browser
  • Self-correct — see output, fix errors
  • Complete — not just suggest, but finish

Deployment

Once trained, deploy to Cloudflare Workers AI for free — no GPU required at inference time.

Key Links

Hardware

Trained on Google Cloud Tesla V100 16GB via Axolotl LoRA pipeline.

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Stack 4.0 — agentic model.

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