Instructions to use stabilityai/stablelm-3b-4e1t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use stabilityai/stablelm-3b-4e1t with Transformers:

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

pipe = pipeline("text-generation", model="stabilityai/stablelm-3b-4e1t")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("stabilityai/stablelm-3b-4e1t")
model = AutoModelForCausalLM.from_pretrained("stabilityai/stablelm-3b-4e1t")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use stabilityai/stablelm-3b-4e1t with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "stabilityai/stablelm-3b-4e1t"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "stabilityai/stablelm-3b-4e1t",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/stabilityai/stablelm-3b-4e1t

SGLang

How to use stabilityai/stablelm-3b-4e1t 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 "stabilityai/stablelm-3b-4e1t" \
    --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": "stabilityai/stablelm-3b-4e1t",
		"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 "stabilityai/stablelm-3b-4e1t" \
        --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": "stabilityai/stablelm-3b-4e1t",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use stabilityai/stablelm-3b-4e1t with Docker Model Runner:
```
docker model run hf.co/stabilityai/stablelm-3b-4e1t
```

gguf/ggml variants

by scrawnyether - opened Oct 1, 2023

Discussion

scrawnyether

Oct 1, 2023

can you please give me the url for gguf and ggml variants

zbruceli

Oct 3, 2023

I tried to use llama.cpp to convert the stableML-3B into ggml/gguf, but there is an error when executing the convert.py script:

% python3 convert.py models/stablelm-3b-4e1t
Traceback (most recent call last):
File "/Users/xxx/code/llama.cpp/convert.py", line 1208, in
main()
File "/Users/xxx/code/llama.cpp/convert.py", line 1149, in main
model_plus = load_some_model(args.model)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/xxx/code/llama.cpp/convert.py", line 1060, in load_some_model
raise Exception(f"Can't find model in directory {path}")
Exception: Can't find model in directory models/stablelm-3b-4e1t

zbruceli

Oct 3, 2023

After chnge to gptneox based conversion script, now I got a new error message.

% python3 convert-gptneox-hf-to-gguf.py ./models/stablelm-3b-4e1t 1
gguf: loading model stablelm-3b-4e1t
Model architecture not supported: StableLMEpochForCausalLM

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