license, datasets, language, base_model, pipeline_tag, library_name

license	datasets	language	base_model	pipeline_tag	library_name
mit	CreitinGameplays/r1_annotated_math-mistral CreitinGameplays/DeepSeek-R1-Distill-Qwen-32B_NUMINA_train_amc_aime-mistral	en	mistralai/Mistral-Nemo-Instruct-2407	text-generation	transformers

Run the model:

import torch
from transformers import pipeline

model_id = "CreitinGameplays/Mistral-Nemo-12B-R1-v0.1alpha"
pipe = pipeline(
    "text-generation",
    model=model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto",
)
messages = [
    {"role": "user", "content": "How many r's are in strawberry?"},
]
outputs = pipe(
    messages,
    temperature=0.8,
    top_p=1.0,
    top_k=50,
    max_new_tokens=4096,
)
print(outputs[0]["generated_text"][-1])