Instructions to use haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct") - Transformers
How to use haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct
- SGLang
How to use haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct 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 "haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct" \ --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": "haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct", "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 "haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct" \ --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": "haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct with Docker Model Runner:
docker model run hf.co/haihp02/dicplau14_Qwen_Qwen2.5-3B-Instruct
Upload task output 1
Browse files- adapter_config.json +4 -4
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training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6417
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:a828d452ac78a382d2b3c2b558d138337034e6e9332e4079059baacdc57a7978
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| 3 |
size 6417
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