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Teluv/Power-point-agent-2b

sourceHugging Faceapache-2.0updated 24d agoView on Hugging Face

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Model Card

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