Instructions to use dimitrib2001/Llama31Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dimitrib2001/Llama31Test with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="dimitrib2001/Llama31Test")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("dimitrib2001/Llama31Test", dtype="auto")

PEFT
How to use dimitrib2001/Llama31Test with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use dimitrib2001/Llama31Test with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dimitrib2001/Llama31Test"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dimitrib2001/Llama31Test",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/dimitrib2001/Llama31Test

SGLang

How to use dimitrib2001/Llama31Test 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 "dimitrib2001/Llama31Test" \
    --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": "dimitrib2001/Llama31Test",
		"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 "dimitrib2001/Llama31Test" \
        --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": "dimitrib2001/Llama31Test",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use dimitrib2001/Llama31Test with Docker Model Runner:
```
docker model run hf.co/dimitrib2001/Llama31Test
```

dimitrib2001 commited on Jul 31, 2024

Commit

a01f90f

verified ·

1 Parent(s): 9f87fe8

Upload folder using huggingface_hub

Browse files

Files changed (2) hide show

runs/Jul31_06-38-24_bdfa9ce39f0e/events.out.tfevents.1722408220.bdfa9ce39f0e.1674.0 +3 -0
runs/Jul31_06-46-08_bdfa9ce39f0e/events.out.tfevents.1722408540.bdfa9ce39f0e.2148.0 +3 -0

runs/Jul31_06-38-24_bdfa9ce39f0e/events.out.tfevents.1722408220.bdfa9ce39f0e.1674.0 ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:630c6f9be171d5b53d031d79d7f7b1daa26ca843202d1699b373510d0ae91f9d
+size 5951

runs/Jul31_06-46-08_bdfa9ce39f0e/events.out.tfevents.1722408540.bdfa9ce39f0e.2148.0 ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:86c65f8769ff89c94a1e4862170f8d61b90f6d05bb1a34d2714c317b7e193faa
+size 5951