Text Generation
Transformers
Safetensors
domynedge
domyn
domyn-edge
long-context
agentic
fully-open
custom_code
Instructions to use domyn/Domyn-Edge-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use domyn/Domyn-Edge-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="domyn/Domyn-Edge-Base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("domyn/Domyn-Edge-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use domyn/Domyn-Edge-Base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "domyn/Domyn-Edge-Base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "domyn/Domyn-Edge-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/domyn/Domyn-Edge-Base
- SGLang
How to use domyn/Domyn-Edge-Base 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 "domyn/Domyn-Edge-Base" \ --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": "domyn/Domyn-Edge-Base", "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 "domyn/Domyn-Edge-Base" \ --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": "domyn/Domyn-Edge-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use domyn/Domyn-Edge-Base with Docker Model Runner:
docker model run hf.co/domyn/Domyn-Edge-Base
Download config.json from domyn/Domyn-Edge-Base: direct link, hf CLI and curl.
- Browser
- Download file 3.74 kB
-
https://huggingface.co/domyn/Domyn-Edge-Base/resolve/main/config.json
- Command line
-
hf download hf://domyn/Domyn-Edge-Base/config.json
-
curl -L -o config.json https://huggingface.co/domyn/Domyn-Edge-Base/resolve/main/config.json
3.74 kB
| { | |
| "architectures": [ | |
| "DomynEdgeForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration_domynedge.DomynEdgeConfig", | |
| "AutoModel": "modeling_domynedge.DomynEdgeModel", | |
| "AutoModelForCausalLM": "modeling_domynedge.DomynEdgeForCausalLM" | |
| }, | |
| "dtype": "bfloat16", | |
| "hidden_act": "silu", | |
| "hidden_size": 2560, | |
| "intermediate_size": 9728, | |
| "max_position_embeddings": 262144, | |
| "model_type": "domynedge", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 36, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-06, | |
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| "tie_word_embeddings": true, | |
| "rope_theta": 10000.0, | |
| "transformers_version": "5.8.1", | |
| "use_cache": true, | |
| "vocab_size": 115272 | |
| } |