Instructions to use DedeProGames/Wisp-15M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DedeProGames/Wisp-15M with Transformers:

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

pipe = pipeline("text-generation", model="DedeProGames/Wisp-15M")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DedeProGames/Wisp-15M")
model = AutoModelForCausalLM.from_pretrained("DedeProGames/Wisp-15M", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DedeProGames/Wisp-15M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DedeProGames/Wisp-15M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DedeProGames/Wisp-15M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/DedeProGames/Wisp-15M

SGLang

How to use DedeProGames/Wisp-15M 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 "DedeProGames/Wisp-15M" \
    --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": "DedeProGames/Wisp-15M",
		"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 "DedeProGames/Wisp-15M" \
        --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": "DedeProGames/Wisp-15M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use DedeProGames/Wisp-15M with Docker Model Runner:
```
docker model run hf.co/DedeProGames/Wisp-15M
```

DedeProGames commited on 27 days ago

Commit

78f926c

verified ·

1 Parent(s): da35b13

Model card

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Files changed (1) hide show

README.md +13 -11

README.md CHANGED Viewed

@@ -90,17 +90,19 @@ held-out loss is 2.777.
 ### Zero-shot benchmarks
-| Task | Score |
-|---|---|
-| HellaSwag | 28.0 |
-| ARC-Easy | 35.9 |
-| ARC-Challenge | 22.0 |
-| PIQA | 57.5 |
-| WinoGrande | 51.1 |
-| OpenBookQA | 26.2 |
-| SciQ | 63.0 |
-| LAMBADA | 21.3 |
-| LAMBADA ppl | 112.7 |
 Greedy samples right after training:
 - `'The meaning of life is that the person who lives in a certain place will be able to live with his or her own needs. The person who lives in an area where he/she has no need for food and drinks, can live without food.\nIn addition'`

 ### Zero-shot benchmarks
+lm-evaluation-harness, zero-shot; acc_norm for HellaSwag/ARC/PIQA/OpenBookQA/SciQ, acc for WinoGrande/LAMBADA. Pythia-70M (70M params, 300B tokens of the Pile) is shown as a reference from EleutherAI's published evaluations.
+| Task | Wisp-15M | Pythia-70M | Random |
+|---|---|---|---|
+| HellaSwag | 28.0 | — | 25.0 |
+| ARC-Easy | 35.9 | 35.0 | 25.0 |
+| ARC-Challenge | 22.0 | 22.1 | 25.0 |
+| PIQA | 57.5 | 59.1 | 50.0 |
+| WinoGrande | 51.1 | 52.8 | 50.0 |
+| OpenBookQA | 26.2 | — | 25.0 |
+| SciQ | 63.0 | 55.2 | 25.0 |
+| LAMBADA | 21.3 | 18.5 | 0.0 |
+| LAMBADA ppl | 112.7 | 142.4 | — |
 Greedy samples right after training:
 - `'The meaning of life is that the person who lives in a certain place will be able to live with his or her own needs. The person who lives in an area where he/she has no need for food and drinks, can live without food.\nIn addition'`