---
library_name: transformers
pipeline_tag: text-generation
base_model: unsloth/Qwen3.5-2B
tags:
  - powerpoint
  - slide-generation
  - python-pptx
  - qwen3.5
  - merged-lora
license: apache-2.0
---

# AutoPowerPoint Agent — Golden v2 Cycle 33

This is the merged Hugging Face release build for AutoPowerPoint Agent. It combines the `unsloth/Qwen3.5-2B` base model with the best Reinforcement SFT checkpoint selected by the Golden v2 and challenge promotion gates.

## Selection metrics

| Metric | Score |
| --- | ---: |
| Runtime success | 85% |
| Layout success | 67% |
| Studio success | 14% |
| Content success | 64% |
| Strict Studio success | 10% |
| Challenge Strict Studio success | 20% |

Cycle 33 was promoted because it remained within the Golden regression tolerance and improved the challenge and combined promotion scores over the previous champion.

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "YOUR_ORG/autopowerpoint-agent-golden-v2-cycle33"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto",
    torch_dtype="auto",
    trust_remote_code=True,
)
```

The model is intended for local PowerPoint planning, slide-code generation, and repair workflows. Generated Python must still pass compile, static, runtime, PPTX, and layout validation before use.

## Build provenance

- Reinforcement job: `4622f449-63d7-4305-bdf8-808fc82696ce`
- Champion cycle: `33`
- Base model: `unsloth/Qwen3.5-2B`
- Export dtype: `bfloat16`
- Format: merged `safetensors`