Instructions to use crumb/bespoke-gpt-124m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use crumb/bespoke-gpt-124m with Transformers:

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

pipe = pipeline("text-generation", model="crumb/bespoke-gpt-124m")

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

tokenizer = AutoTokenizer.from_pretrained("crumb/bespoke-gpt-124m")
model = AutoModelForCausalLM.from_pretrained("crumb/bespoke-gpt-124m", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use crumb/bespoke-gpt-124m with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "crumb/bespoke-gpt-124m"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "crumb/bespoke-gpt-124m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/crumb/bespoke-gpt-124m

SGLang

How to use crumb/bespoke-gpt-124m 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 "crumb/bespoke-gpt-124m" \
    --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": "crumb/bespoke-gpt-124m",
		"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 "crumb/bespoke-gpt-124m" \
        --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": "crumb/bespoke-gpt-124m",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use crumb/bespoke-gpt-124m with Docker Model Runner:
```
docker model run hf.co/crumb/bespoke-gpt-124m
```

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Check out the documentation for more information.

work in progress! we aren't even past 1b tokens yet but check out how well it's doing regardless in the inference thing

Downloads last month: 15

Safetensors

Model size

0.1B params

Tensor type

F32

BOOL