Instructions to use motionlabs/AMD-Llama-350M-Upgraded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use motionlabs/AMD-Llama-350M-Upgraded with Transformers:

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

pipe = pipeline("text-generation", model="motionlabs/AMD-Llama-350M-Upgraded")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("motionlabs/AMD-Llama-350M-Upgraded")
model = AutoModelForCausalLM.from_pretrained("motionlabs/AMD-Llama-350M-Upgraded", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use motionlabs/AMD-Llama-350M-Upgraded with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "motionlabs/AMD-Llama-350M-Upgraded"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "motionlabs/AMD-Llama-350M-Upgraded",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/motionlabs/AMD-Llama-350M-Upgraded

SGLang

How to use motionlabs/AMD-Llama-350M-Upgraded 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 "motionlabs/AMD-Llama-350M-Upgraded" \
    --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": "motionlabs/AMD-Llama-350M-Upgraded",
		"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 "motionlabs/AMD-Llama-350M-Upgraded" \
        --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": "motionlabs/AMD-Llama-350M-Upgraded",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use motionlabs/AMD-Llama-350M-Upgraded with Docker Model Runner:
```
docker model run hf.co/motionlabs/AMD-Llama-350M-Upgraded
```

AMD-Llama-350M-Upgraded / README.md

Commit History

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Commit History

Update README.md c168c7b verified

Update README.md 0c5e284 verified

Update README.md 5e31df6 verified

Create README.md 33025c8 verified

Update README.md

c168c7b
verified

Update README.md

0c5e284
verified

Update README.md

5e31df6
verified

Create README.md

33025c8
verified