58 lines
1.2 KiB
Markdown
58 lines
1.2 KiB
Markdown
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---
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library_name: transformers
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license: other
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license_name: nvidia-open-model-license
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license_link: >-
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https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
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pipeline_tag: text-generation
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language:
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- en
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tags:
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- nvidia
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- llama-3
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- pytorch
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---
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# Llama-3.1-Nemotron-Nano-8B-v1
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Note: chat template forces reasoning to be on via the system prompt! Any additional system prompt will throw an error.
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Example:
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_id = "cminst/Llama-Nemotron-8B-templatefixes"
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# Load tokenizer + override chat template
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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# ---- Test conversation ----
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messages = [
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{"role": "user", "content": "Solve x*(sin(x)+2)=0"}
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]
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# Apply template
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inputs = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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return_tensors="pt",
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add_generation_prompt=True
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)
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print("START")
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print(inputs,end="")
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print("END")
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```
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gives:
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```
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START
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<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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detailed thinking on<|eot_id|><|start_header_id|>user<|end_header_id|>
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Solve x*(sin(x)+2)=0<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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END
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```
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