Text Generation
Transformers
Safetensors
English
mistral
conversational
text-generation-inference
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---
license: mit
datasets:
- CreitinGameplays/r1_annotated_math-mistral
- CreitinGameplays/DeepSeek-R1-Distill-Qwen-32B_NUMINA_train_amc_aime-mistral
language:
- en
base_model:
- mistralai/Mistral-Nemo-Instruct-2407
pipeline_tag: text-generation
library_name: transformers
---

Run the model:
```python
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])

```