Instructions to use AxionLab-Co/AxionMoE-350k-A250k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AxionLab-Co/AxionMoE-350k-A250k with Transformers:

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

pipe = pipeline("text-generation", model="AxionLab-Co/AxionMoE-350k-A250k", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("AxionLab-Co/AxionMoE-350k-A250k", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AxionLab-Co/AxionMoE-350k-A250k with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AxionLab-Co/AxionMoE-350k-A250k"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AxionLab-Co/AxionMoE-350k-A250k",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AxionLab-Co/AxionMoE-350k-A250k

SGLang

How to use AxionLab-Co/AxionMoE-350k-A250k 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 "AxionLab-Co/AxionMoE-350k-A250k" \
    --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": "AxionLab-Co/AxionMoE-350k-A250k",
		"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 "AxionLab-Co/AxionMoE-350k-A250k" \
        --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": "AxionLab-Co/AxionMoE-350k-A250k",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AxionLab-Co/AxionMoE-350k-A250k with Docker Model Runner:
```
docker model run hf.co/AxionLab-Co/AxionMoE-350k-A250k
```

👀 What about Other Models?

by erenyeager-1 - opened 2 days ago

Discussion

erenyeager-1

2 days ago

Version Params Status
Axion1-v0.1 (this) 344k ✅ Released
Axion1-v0.2 ~1.5M 🔜 Next
Axion1-v0.3 ~6M 📅 Planned
Axion1--v0.4 ~24M 📅 Planned
Axion1--v0.5 ~100M 📅 Planned

Are you still training those models or have you abandoned the project?

CompactAI

2 days ago

I hope he is still working on it :D

AxionLab-official

AxionLab Co. org 2 days ago

Version Params Status
Axion1-v0.1 (this) 344k ✅ Released
Axion1-v0.2 ~1.5M 🔜 Next
Axion1-v0.3 ~6M 📅 Planned
Axion1--v0.4 ~24M 📅 Planned
Axion1--v0.5 ~100M 📅 Planned

Are you still training those models or have you abandoned the project?

Axion-v0.2 still on work, i don't have so much time to make it because i'm wotking at supralabs, but, i will release it!

erenyeager-1

2 days ago

Yey!

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