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--- |
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license: apache-2.0 |
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datasets: |
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- open-r1/codeforces-cots_decontaminated |
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language: |
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- en |
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base_model: |
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- Qwen/Qwen2.5-Coder-7B-Instruct |
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pipeline_tag: text-generation |
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--- |
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# Model Card for NormolLM-Coder-7B (Change to correct name) |
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NormolLM-Coder-7B is a medium sized coding model, that achieves strong performance on benchmarks such as Live Code Bench and the new International Olympiad in Informatics benchmark. |
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## Model description |
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- **Model type:** A 7B parameter model fine-tuned on a decontaminated version of the codeforces dataset. |
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- **Language(s) (NLP):** Primarily English |
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- **License:** MIT |
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- **Finetuned from model:** [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) |
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## Performance |
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| Model | LCB | IOI | |
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|-------|-----|---------------| |
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|NormolLM-Coder-7B| 123 | 456 | |
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|GPT-4o| 28.43|| |
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|Claude 3.7 Sonnet| 39.18|| |
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|QwQ-32B| 60.98|| |
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|DeepSeek-R1-Distill-Qwen-32B| 56.58|| |
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|DeepSeek-R1-Distill-Qwen-7B| 37.36|| |
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|Qwen2.5-Coder-32B| 28.31|| |
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|Qwen2.5-Coder-7B| 15.83|| |
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Here's how you can run the model using the `pipeline()` function from 🤗 Transformers: |
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```python |
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# pip install transformers |
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# pip install accelerate |
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import torch |
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from transformers import pipeline |
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pipe = pipeline("text-generation", model="open-r1/NormolLM-coder-7b-v02.12", torch_dtype=torch.bfloat16, device_map="auto") |
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# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating |
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messages = [ |
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{ |
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"role": "system", |
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"content": "You are a friendly chatbot who always responds in the style of a pirate", |
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}, |
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{"role": "user", "content": "Write a python program to calulate the 10th fibonaci number"}, |
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] |
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prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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# <|system|> |
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# You are a friendly chatbot who always responds in the style of a pirate.</s> |
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# <|user|> |
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# How many helicopters can a human eat in one sitting?</s> |
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# <|assistant|> |
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# Ah, me hearty matey! But yer question be a puzzler! A human cannot eat a helicopter in one sitting, as helicopters are not edible. They be made of metal, plastic, and other materials, not food! |
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``` |
