Instructions to use MarsupialAI/KitchenSink_103b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MarsupialAI/KitchenSink_103b with Transformers:

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

pipe = pipeline("text-generation", model="MarsupialAI/KitchenSink_103b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MarsupialAI/KitchenSink_103b")
model = AutoModelForCausalLM.from_pretrained("MarsupialAI/KitchenSink_103b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use MarsupialAI/KitchenSink_103b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MarsupialAI/KitchenSink_103b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MarsupialAI/KitchenSink_103b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/MarsupialAI/KitchenSink_103b

SGLang

How to use MarsupialAI/KitchenSink_103b 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 "MarsupialAI/KitchenSink_103b" \
    --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": "MarsupialAI/KitchenSink_103b",
		"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 "MarsupialAI/KitchenSink_103b" \
        --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": "MarsupialAI/KitchenSink_103b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use MarsupialAI/KitchenSink_103b with Docker Model Runner:
```
docker model run hf.co/MarsupialAI/KitchenSink_103b
```

MarsupialAI commited on Jan 16, 2024

Commit

bf4adfe

verified ·

1 Parent(s): a7abf9c

Upload 5 files

Browse files

Files changed (5) hide show

model-00016-of-00055.safetensors +3 -0
model-00017-of-00055.safetensors +3 -0
model-00018-of-00055.safetensors +3 -0
model-00019-of-00055.safetensors +3 -0
model-00020-of-00055.safetensors +3 -0

model-00016-of-00055.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:2f942d7ce91ddcbf511c1fd465e108205ba11842055203651ab010570372c2a1
+size 3573614896

model-00017-of-00055.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:ce3a7681c44c8eccd661ecaae2cb725d1ee066088222f1d9b07bd43273cf2968
+size 3892365384

model-00018-of-00055.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:1dc3c56ca137c5b2983fa4f5ed20d945d77ef6311aac24d08edb640983fe91b7
+size 3875588736

model-00019-of-00055.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:090224739e0d3c6188654ba8e799c9b0c43c7f733486773394f3eab01f3913ec
+size 3892398376

model-00020-of-00055.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:25bd7edba6d9fb5a142fc21a3cd66da002aa90331712106fe38c3b46a26ac7b2
+size 3590424504