Instructions to use mymaia/Magiq-Translator-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mymaia/Magiq-Translator-0 with Transformers:

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

pipe = pipeline("text-generation", model="mymaia/Magiq-Translator-0")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("mymaia/Magiq-Translator-0")
model = AutoModelForCausalLM.from_pretrained("mymaia/Magiq-Translator-0")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use mymaia/Magiq-Translator-0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mymaia/Magiq-Translator-0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mymaia/Magiq-Translator-0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/mymaia/Magiq-Translator-0

SGLang

How to use mymaia/Magiq-Translator-0 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 "mymaia/Magiq-Translator-0" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mymaia/Magiq-Translator-0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "mymaia/Magiq-Translator-0" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mymaia/Magiq-Translator-0",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use mymaia/Magiq-Translator-0 with Docker Model Runner:
```
docker model run hf.co/mymaia/Magiq-Translator-0
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Model Card for Magiq Translator 0

Magiq Translator 0 is the linguistic adapter in the Magiq3 architecture, responsible for breaking down language barriers.

It translates between English, French, and Italian, preserving the original intent and cultural nuances.

This model ensures MAIA’s accessibility across different linguistic demographics, facilitating global connectivity.

Downloads last month: 14

Safetensors

Model size

7B params

Tensor type

F16

Model tree for mymaia/Magiq-Translator-0

Base model

mistralai/Mistral-7B-Instruct-v0.2

Finetuned

(1088)

this model

Quantizations

2 models