🚀 OpenAI GPT OSS Models - Simple Generation Script

Generate synthetic datasets using OpenAI's GPT OSS models with transparent reasoning. Works on HuggingFace Jobs with L4 GPUs!

✅ Tested & Working

Successfully tested on HF Jobs with l4x4 flavor (4x L4 GPUs = 96GB total memory).

🚀 Getting Started with HF Jobs

First-time Setup (2 minutes)

Install HuggingFace CLI:

pip install huggingface-hub

Login to HuggingFace:

huggingface-cli login

(Enter your HF token when prompted - get one at https://huggingface.co/settings/tokens)

Run the script on HF Jobs:

hf jobs uv run --flavor l4x4 --secrets HF_TOKEN=hf_*** \
    https://huggingface.co/datasets/uv-scripts/openai-oss/raw/main/gpt_oss_minimal.py \
    --input-dataset davanstrien/haiku_dpo \
    --output-dataset YOUR_USERNAME/gpt-oss-test \
    --prompt-column question \
    --max-samples 2

That's it! Your job will run on HuggingFace's GPUs and the output dataset will appear in your HF account.

🌟 Quick Start

# Run on HF Jobs (tested and working)
hf jobs uv run --flavor l4x4 --secrets HF_TOKEN=hf_*** \
    https://huggingface.co/datasets/uv-scripts/openai-oss/raw/main/gpt_oss_minimal.py \
    --input-dataset davanstrien/haiku_dpo \
    --output-dataset username/gpt-oss-haiku \
    --prompt-column question \
    --max-samples 2 \
    --reasoning-effort high

📋 Script Options

Option	Description	Default
`--input-dataset`	HuggingFace dataset to process	Required
`--output-dataset`	Output dataset name	Required
`--prompt-column`	Column containing prompts	`prompt`
`--model-id`	Model to use	`openai/gpt-oss-20b`
`--max-samples`	Limit samples to process	None (all)
`--max-new-tokens`	Max tokens to generate	Auto-scales: 512/1024/2048
`--reasoning-effort`	Reasoning depth: low/medium/high	`medium`
`--temperature`	Sampling temperature	`1.0`
`--top-p`	Top-p sampling	`1.0`

Note: max-new-tokens auto-scales based on reasoning-effort if not set:

low: 512 tokens
medium: 1024 tokens
high: 2048 tokens (prevents truncation of detailed reasoning)

💡 What You Get

The output dataset contains:

prompt: Original prompt from input dataset
raw_output: Full model response with channel markers
model: Model ID used
reasoning_effort: The reasoning level used

Understanding the Output

The raw output contains special channel markers:

<|channel|>analysis<|message|> - Chain of thought reasoning
<|channel|>final<|message|> - The actual response

Example raw output structure:

<|channel|>analysis<|message|>
[Reasoning about the task...]
<|channel|>final<|message|>
[Actual haiku or response]

🎯 Examples

Test with Different Reasoning Levels

High reasoning (most detailed):

hf jobs uv run --flavor l4x4 --secrets HF_TOKEN=hf_*** \
    https://huggingface.co/datasets/uv-scripts/openai-oss/raw/main/gpt_oss_minimal.py \
    --input-dataset davanstrien/haiku_dpo \
    --output-dataset username/haiku-high \
    --prompt-column question \
    --reasoning-effort high \
    --max-samples 5

Low reasoning (fastest):

hf jobs uv run --flavor l4x4 --secrets HF_TOKEN=hf_*** \
    https://huggingface.co/datasets/uv-scripts/openai-oss/raw/main/gpt_oss_minimal.py \
    --input-dataset davanstrien/haiku_dpo \
    --output-dataset username/haiku-low \
    --prompt-column question \
    --reasoning-effort low \
    --max-samples 10

🖥️ GPU Requirements

Model	Memory Required	Recommended Flavor
openai/gpt-oss-20b	~40GB	`l4x4` (4x24GB = 96GB)

Note: The 20B model automatically dequantizes from MXFP4 to bf16 on non-Hopper GPUs, requiring more memory than the quantized size.

Reasoning Effort

The reasoning_effort parameter controls how much chain-of-thought reasoning the model generates:

low: Quick responses with minimal reasoning
medium: Balanced reasoning (default)
high: Detailed step-by-step reasoning

Sampling Parameters

OpenAI recommends temperature=1.0 and top_p=1.0 as defaults for GPT OSS models:

These settings provide good diversity without compromising quality
The model was trained to work well with these parameters
Adjust only if you need specific behavior (e.g., lower temperature for more deterministic output)

📚 Resources

OpenAI GPT OSS Model Collection - Both 20B and 120B models
Model: openai/gpt-oss-20b
HF Jobs Documentation - Complete guide to running jobs on HuggingFace
HF CLI Guide - HuggingFace CLI installation and usage
Dataset: davanstrien/haiku_dpo

Last tested: 2025-01-06 on HF Jobs with l4x4 flavor