Instructions to use arcee-ai/Trinity-Nano-Preview-W4A16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcee-ai/Trinity-Nano-Preview-W4A16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="arcee-ai/Trinity-Nano-Preview-W4A16", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("arcee-ai/Trinity-Nano-Preview-W4A16", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("arcee-ai/Trinity-Nano-Preview-W4A16", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use arcee-ai/Trinity-Nano-Preview-W4A16 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "arcee-ai/Trinity-Nano-Preview-W4A16" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "arcee-ai/Trinity-Nano-Preview-W4A16", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/arcee-ai/Trinity-Nano-Preview-W4A16
- SGLang
How to use arcee-ai/Trinity-Nano-Preview-W4A16 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 "arcee-ai/Trinity-Nano-Preview-W4A16" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "arcee-ai/Trinity-Nano-Preview-W4A16", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "arcee-ai/Trinity-Nano-Preview-W4A16" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "arcee-ai/Trinity-Nano-Preview-W4A16", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use arcee-ai/Trinity-Nano-Preview-W4A16 with Docker Model Runner:
docker model run hf.co/arcee-ai/Trinity-Nano-Preview-W4A16
Commit ·
ad776dc
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Parent(s): 22c314d
Adopt OpenMDW-1.1 license (#1)
Browse files- Adopt OpenMDW-1.1 license (08cad6e535538c34e69d4fd08a3fb406801fc323)
LICENSE
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OpenMDW License Agreement, version 1.1 (OpenMDW-1.1)
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By exercising rights granted to you under this agreement, you accept and agree
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to its terms.
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As used in this agreement, "Model Materials" means the materials provided to
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you under this agreement, consisting of: (1) one or more machine learning
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models (including architecture and parameters); and (2) all related artifacts
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(including associated data, documentation and software) that are provided to
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you hereunder.
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Subject to your compliance with this agreement, permission is hereby granted,
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free of charge, to deal in the Model Materials without restriction, including
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under all copyright, patent, database, and trade secret rights included or
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embodied therein.
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If you distribute any portion of the Model Materials, you shall retain in your
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distribution (1) a copy of this agreement, and (2) all copyright notices and
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other notices of origin included in the Model Materials that are applicable to
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your distribution.
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If you file, maintain, or voluntarily participate in a lawsuit against any
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person or entity asserting that the Model Materials directly or indirectly
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infringe any patent or copyright, then all rights and grants made to you
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hereunder are terminated, unless that lawsuit was in response to a
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corresponding lawsuit first brought against you.
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This agreement does not impose any restrictions or obligations with respect to
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any use, modification, or sharing of any outputs generated by using the Model
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Materials.
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THE MODEL MATERIALS ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
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OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE, TITLE, NONINFRINGEMENT, ACCURACY, OR THE
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ABSENCE OF LATENT OR OTHER DEFECTS OR ERRORS, WHETHER OR NOT DISCOVERABLE, ALL
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TO THE GREATEST EXTENT PERMISSIBLE UNDER APPLICABLE LAW.
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YOU ARE SOLELY RESPONSIBLE FOR (1) CLEARING RIGHTS OF OTHER PERSONS THAT MAY
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APPLY TO THE MODEL MATERIALS OR ANY USE THEREOF, INCLUDING WITHOUT LIMITATION
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ANY PERSON'S COPYRIGHTS OR OTHER RIGHTS INCLUDED OR EMBODIED IN THE MODEL
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MATERIALS; (2) OBTAINING ANY NECESSARY CONSENTS, PERMISSIONS OR OTHER RIGHTS
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REQUIRED FOR ANY USE OF THE MODEL MATERIALS; OR (3) PERFORMING ANY DUE
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DILIGENCE OR UNDERTAKING ANY OTHER INVESTIGATIONS INTO THE MODEL MATERIALS OR
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ANYTHING INCORPORATED OR EMBODIED THEREIN.
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IN NO EVENT SHALL THE PROVIDERS OF THE MODEL MATERIALS BE LIABLE FOR ANY CLAIM,
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DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
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OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE MODEL MATERIALS, THE
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USE THEREOF OR OTHER DEALINGS THEREIN.
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README.md
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---
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license:
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language:
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- en
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- es
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base_model:
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- arcee-ai/Trinity-Nano-Preview
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base_model_relation: quantized
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---
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<div align="center">
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<picture>
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* **Experts:** 128 total, 8 active, 1 shared
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* **Context length:** 128k
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* **Training Tokens:** 10T
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-
* **License:** [
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***
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## License
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-
Trinity-Nano-Preview-W4A16 is released under the
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---
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license: other
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language:
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- en
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- es
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base_model:
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- arcee-ai/Trinity-Nano-Preview
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base_model_relation: quantized
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license_link: LICENSE
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license_name: openmdw-1.1
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---
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<div align="center">
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<picture>
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* **Experts:** 128 total, 8 active, 1 shared
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* **Context length:** 128k
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* **Training Tokens:** 10T
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* **License:** [OpenMDW-1.1](https://huggingface.co/arcee-ai/Trinity-Mini#license)
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***
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## License
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Trinity-Nano-Preview-W4A16 is released under the OpenMDW-1.1 license.
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