cveavy/Affine-cvea11-5HE2MV4S9uzffcAXJJEvGdEHYmRxmSEBwiUgcCqGAAZGh8vt

Model Card: cveavy6-print

Model Description

A customized Qwen3-based language model (~7B parameters) optimized for the Affine network PRINT environment.

Model Owner:

• Developer: cveavy_user2
• Hotkey: 5HE2MV4S9uzffcAXJJEvGdEHYmRxmSEBwiUgcCqGAAZGh8vt
• Customization ID: cveavy6-print

Customization Details:

• Optimized for: PRINT (code evaluation environment)
• Customized at: 2026-01-16 10:38:58
• Base model: qwen3
• Developed by: cveavy_user2 (hotkey: 5HE2MV4S9uzffcAXJJEvGdEHYmRxmSEBwiUgcCqGAAZGh8vt)

What is this used for?

• Code Evaluation: PRINT environment tasks
• Code Completion: Completing partial code functions
• Debugging: Finding and fixing bugs in code
• Algorithm Implementation: Writing algorithms from scratch
• Complex Reasoning: Multi-step problem solving
• Affine Network: Competitive reasoning model for decentralized evaluation

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_name = "your-username/your-model-name"
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype=torch.bfloat16,
    device_map="auto",
    trust_remote_code=True
)

prompt = "Complete this function: def factorial(n):"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Model Details

• Architecture: Qwen3ForCausalLM
• Parameters: ~7B
• Context Length: 40,960 tokens
• Layers: 36
• Precision: bfloat16
• Optimized for: PRINT environment (code evaluation)

Customization

This model has been customized for improved performance on PRINT tasks:

• Generation parameters optimized for code tasks
• Configuration tuned for code evaluation scenarios
• Unique model identity: cveavy6-print

License

Apache 2.0

Citation

If you use this model, please cite:

@misc{cveavy6-print,
  title={Customized Qwen3 for PRINT Environment},
  author={cveavy_user2 (hotkey: 5HE2MV4S9uzffcAXJJEvGdEHYmRxmSEBwiUgcCqGAAZGh8vt)},
  year={2026},
  url={https://huggingface.co/your-username/your-model-name}
}