Instructions to use stabilityai/tiny-random-stablelm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use stabilityai/tiny-random-stablelm-2 with Transformers:

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

pipe = pipeline("text-generation", model="stabilityai/tiny-random-stablelm-2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("stabilityai/tiny-random-stablelm-2")
model = AutoModelForCausalLM.from_pretrained("stabilityai/tiny-random-stablelm-2")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use stabilityai/tiny-random-stablelm-2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "stabilityai/tiny-random-stablelm-2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "stabilityai/tiny-random-stablelm-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/stabilityai/tiny-random-stablelm-2

SGLang

How to use stabilityai/tiny-random-stablelm-2 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/tiny-random-stablelm-2" \
    --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/tiny-random-stablelm-2",
		"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/tiny-random-stablelm-2" \
        --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/tiny-random-stablelm-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use stabilityai/tiny-random-stablelm-2 with Docker Model Runner:
```
docker model run hf.co/stabilityai/tiny-random-stablelm-2
```

jon-tow commited on Mar 28, 2024

Commit

e557170

verified ·

1 Parent(s): 426c145

fix(model): update module name for qk norm fields for consistency with phi/persimmon

Browse files

Files changed (2) hide show

config.json +1 -1
model.safetensors +2 -2

config.json CHANGED Viewed

@@ -21,7 +21,7 @@
   "rope_scaling": null,
   "rope_theta": 10000,
   "tie_word_embeddings": false,
-  "torch_dtype": "bfloat16",
   "transformers_version": "4.39.0.dev0",
   "use_cache": true,
   "use_parallel_residual": true,

   "rope_scaling": null,
   "rope_theta": 10000,
   "tie_word_embeddings": false,
+  "torch_dtype": "float32",
   "transformers_version": "4.39.0.dev0",
   "use_cache": true,
   "use_parallel_residual": true,

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:17ef5bea2ae50ca469a9ba704da10ddb5a2de3c1a8fdf2f111667588847cd0e2
-size 105790296

 version https://git-lfs.github.com/spec/v1
+oid sha256:8778d3f477d980d0d605c76efb101b492ba3d6cbad0aa6f22f6c18d12c8e2663
+size 211573792