Instructions to use Deci/DeciCoder-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deci/DeciCoder-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Deci/DeciCoder-1b", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Deci/DeciCoder-1b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Deci/DeciCoder-1b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Deci/DeciCoder-1b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Deci/DeciCoder-1b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Deci/DeciCoder-1b
- SGLang
How to use Deci/DeciCoder-1b with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Deci/DeciCoder-1b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Deci/DeciCoder-1b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Deci/DeciCoder-1b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Deci/DeciCoder-1b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Deci/DeciCoder-1b with Docker Model Runner:
docker model run hf.co/Deci/DeciCoder-1b
load model error
AttributeError: 'DeciCoderModel' object has no attribute 'causal_mask'
use transformer=4.38.0, torch=2.0.1
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'
how to get rid of the above error,help me!!!
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope' getting this error has anyone solved it ?
no i am also seeing same error - with _init_rope and others have also reported can someone please help - @itay-levy any idea?
~~~~~~~~~~~~~~^^^^^^^^
File "C:\Users\aakashsharm.aa5.cache\huggingface\modules\transformers_modules\Deci\DeciCoder-1b\d045c14763eab7225fe79a6bc309890fda7b1483\modeling_decicoder.py", line 215, in init
self.layers = nn.ModuleList([DeciCoderDecoderLayer(config) for _ in range(config.num_hidden_layers)])
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^
File "C:\Users\aakashsharm.aa5.cache\huggingface\modules\transformers_modules\Deci\DeciCoder-1b\d045c14763eab7225fe79a6bc309890fda7b1483\modeling_decicoder.py", line 181, in init
self.self_attn = DeciCoderAttention(config=config)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "C:\Users\aakashsharm.aa5.cache\huggingface\modules\transformers_modules\Deci\DeciCoder-1b\d045c14763eab7225fe79a6bc309890fda7b1483\modeling_decicoder.py", line 54, in init
self._init_rope()
^^^^^^^^^^^^^^^
File "C:\Temp\my-gen-ai-experiments\myprojectenv\Lib\site-packages\torch\nn\modules\module.py", line 1928, in getattr
raise AttributeError(
f"'{type(self).name}' object has no attribute '{name}'"
)
AttributeError: 'DeciCoderAttention' object has no attribute '_init_rope'