Instructions to use AngelSlim/Hy3-GPTQ-Int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- vLLM
How to use AngelSlim/Hy3-GPTQ-Int4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AngelSlim/Hy3-GPTQ-Int4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AngelSlim/Hy3-GPTQ-Int4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/AngelSlim/Hy3-GPTQ-Int4
- SGLang
How to use AngelSlim/Hy3-GPTQ-Int4 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 "AngelSlim/Hy3-GPTQ-Int4" \ --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": "AngelSlim/Hy3-GPTQ-Int4", "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 "AngelSlim/Hy3-GPTQ-Int4" \ --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": "AngelSlim/Hy3-GPTQ-Int4", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use AngelSlim/Hy3-GPTQ-Int4 with Docker Model Runner:
docker model run hf.co/AngelSlim/Hy3-GPTQ-Int4
Upload generation_config.json with huggingface_hub
Browse files- generation_config.json +10 -0
generation_config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 120000,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": 120025,
|
| 5 |
+
"pad_token_id": 120002,
|
| 6 |
+
"temperature": 0.9,
|
| 7 |
+
"top_k": -1,
|
| 8 |
+
"top_p": 1,
|
| 9 |
+
"transformers_version": "5.6.0"
|
| 10 |
+
}
|