Instructions to use KeisukeMiyamoto/lambda-1-160m-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use KeisukeMiyamoto/lambda-1-160m-base with Transformers:

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

pipe = pipeline("text-generation", model="KeisukeMiyamoto/lambda-1-160m-base")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("KeisukeMiyamoto/lambda-1-160m-base", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use KeisukeMiyamoto/lambda-1-160m-base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KeisukeMiyamoto/lambda-1-160m-base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KeisukeMiyamoto/lambda-1-160m-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/KeisukeMiyamoto/lambda-1-160m-base

SGLang

How to use KeisukeMiyamoto/lambda-1-160m-base 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 "KeisukeMiyamoto/lambda-1-160m-base" \
    --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": "KeisukeMiyamoto/lambda-1-160m-base",
		"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 "KeisukeMiyamoto/lambda-1-160m-base" \
        --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": "KeisukeMiyamoto/lambda-1-160m-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use KeisukeMiyamoto/lambda-1-160m-base with Docker Model Runner:
```
docker model run hf.co/KeisukeMiyamoto/lambda-1-160m-base
```

lambda-1-160m-base / README.md

Commit History

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MIyamoto Keisuke commited on Jun 24

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MIyamoto Keisuke commited on Jun 24

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MIyamoto Keisuke commited on Jun 24

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MIyamoto Keisuke commited on Jun 21

Commit History

Update README.md 116fa4e verified

Update README.md 7462a9d verified

Update README.md 57d2740 verified

initial commit 9591aa7 verified

Update README.md

116fa4e
verified

Update README.md

7462a9d
verified

Update README.md

57d2740
verified

initial commit

9591aa7
verified