Instructions to use stabilityai/stablelm-3b-4e1t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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 Settings
- 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
update(README): lift gate
Browse files
README.md
CHANGED
|
@@ -10,12 +10,6 @@ language:
|
|
| 10 |
- en
|
| 11 |
tags:
|
| 12 |
- causal-lm
|
| 13 |
-
extra_gated_fields:
|
| 14 |
-
Name: text
|
| 15 |
-
Email: text
|
| 16 |
-
Country: text
|
| 17 |
-
Organization or Affiliation: text
|
| 18 |
-
I ALLOW Stability AI to email me about new model releases: checkbox
|
| 19 |
---
|
| 20 |
# `StableLM-3B-4E1T`
|
| 21 |
|
|
|
|
| 10 |
- en
|
| 11 |
tags:
|
| 12 |
- causal-lm
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
---
|
| 14 |
# `StableLM-3B-4E1T`
|
| 15 |
|