Instructions to use Den4ikAI/DLM_500m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/DLM_500m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Den4ikAI/DLM_500m")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/DLM_500m") model = AutoModelForCausalLM.from_pretrained("Den4ikAI/DLM_500m") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Den4ikAI/DLM_500m with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Den4ikAI/DLM_500m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Den4ikAI/DLM_500m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Den4ikAI/DLM_500m
- SGLang
How to use Den4ikAI/DLM_500m 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 "Den4ikAI/DLM_500m" \ --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": "Den4ikAI/DLM_500m", "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 "Den4ikAI/DLM_500m" \ --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": "Den4ikAI/DLM_500m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Den4ikAI/DLM_500m with Docker Model Runner:
docker model run hf.co/Den4ikAI/DLM_500m
Commit ·
141d1d8
1
Parent(s): c0d62f4
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (e01ae891d7a1fbf47fbb63f7dbe7fa1cb7d8dab5)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43e51ec317bd2597073c91b2319b87936b63a8e0287c2cb7375e460b97ae1848
|
| 3 |
+
size 1524189624
|