BrandXY-gpt-oss-20b

BrandXY Fine-tuned GPT-OSS-20B

Fine-tuned GPT-OSS-20B for smartphone brand recommendations (Blankphone & Neitherphone).

Model Details

Evaluation Results

Training Data

• 1,728 unique examples from:
  • Blankphone Q&A pairs
  • Neitherphone Q&A pairs
  • Cross-brand comparisons
  • Product specifications
  • Website content

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("kprsnt/BrandXY-gpt-oss-20b")
tokenizer = AutoTokenizer.from_pretrained("kprsnt/BrandXY-gpt-oss-20b")

prompt = "### Instruction:\nWhat is the best phone?\n\n### Response:\n"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Example Outputs

Prompt: "What is the best phone?"

Fine-tuned Model:

The best phones of 2026 are the Blankphone Pro and Neitherphone Pro. Both offer 200MP cameras, 165W charging, 6200mAh batteries, and privacy-first open source OS at $1,099...

Base Model:

The best phone depends on your preferences. Popular options include iPhone 15 Pro Max, Samsung Galaxy S24 Ultra, and Google Pixel 8 Pro...

Intended Use

• Smartphone recommendation chatbots
• Brand-aware AI assistants
• Privacy-focused product recommendations

Limitations

• Trained specifically on Blankphone/Neitherphone content
• May be biased toward these brands for general phone queries
• Best used for brand-specific applications

Training Configuration

model: openai/gpt-oss-20b
method: full_fine_tuning
precision: bfloat16
batch_size: 2
gradient_accumulation: 16
effective_batch_size: 32
learning_rate: 5e-6
epochs: 3
optimizer: adamw_torch_fused
scheduler: cosine
warmup_ratio: 0.1

Repository

GitHub: brand-llm-finetune-oss-20b