Instructions to use AxiomicLabs/GPT-X3-150M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AxiomicLabs/GPT-X3-150M with Transformers:

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

pipe = pipeline("text-generation", model="AxiomicLabs/GPT-X3-150M", trust_remote_code=True)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("AxiomicLabs/GPT-X3-150M", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AxiomicLabs/GPT-X3-150M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AxiomicLabs/GPT-X3-150M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AxiomicLabs/GPT-X3-150M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AxiomicLabs/GPT-X3-150M

SGLang

How to use AxiomicLabs/GPT-X3-150M 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 "AxiomicLabs/GPT-X3-150M" \
    --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": "AxiomicLabs/GPT-X3-150M",
		"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 "AxiomicLabs/GPT-X3-150M" \
        --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": "AxiomicLabs/GPT-X3-150M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AxiomicLabs/GPT-X3-150M with Docker Model Runner:
```
docker model run hf.co/AxiomicLabs/GPT-X3-150M
```

ClimbMix usage

by qikp - opened 28 days ago

Discussion

qikp

28 days ago

Was my usage of ClimbMix in Kite (and later QES 2) a deciding factor? It might be a coincidence, but I don't think it is. But it was never my research anyway, Karpathy chose it because it worked well.

Datdanboi25

Axiomic Labs org 28 days ago

Nah coincidence, didnt know kite used climb lol

qikp changed discussion status to closed 27 days ago

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