Transformers
Safetensors
reasoning
chain-of-thought
deepseek
qwen
unsloth
chatml
agent
code
thinking
distilled
Instructions to use 3amthoughts/DeepLink-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 3amthoughts/DeepLink-R1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("3amthoughts/DeepLink-R1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use 3amthoughts/DeepLink-R1 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for 3amthoughts/DeepLink-R1 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for 3amthoughts/DeepLink-R1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for 3amthoughts/DeepLink-R1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="3amthoughts/DeepLink-R1", max_seq_length=2048, )
(Trained with Unsloth)
Browse files- .gitattributes +1 -0
- chat_template.jinja +8 -0
- tokenizer.json +3 -0
- tokenizer_config.json +10 -0
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{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user
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version https://git-lfs.github.com/spec/v1
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"backend": "tokenizers",
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"bos_token": "<|begin▁of▁sentence|>",
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"eos_token": "<|im_end|>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|PAD_TOKEN|>",
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"tokenizer_class": "TokenizersBackend",
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"chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"
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}
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