Instructions to use MysteriousAI/MIA-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MysteriousAI/MIA-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MysteriousAI/MIA-4B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MysteriousAI/MIA-4B") model = AutoModelForCausalLM.from_pretrained("MysteriousAI/MIA-4B") 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 MysteriousAI/MIA-4B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MysteriousAI/MIA-4B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MysteriousAI/MIA-4B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/MysteriousAI/MIA-4B
- SGLang
How to use MysteriousAI/MIA-4B 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 "MysteriousAI/MIA-4B" \ --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": "MysteriousAI/MIA-4B", "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 "MysteriousAI/MIA-4B" \ --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": "MysteriousAI/MIA-4B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use MysteriousAI/MIA-4B with Docker Model Runner:
docker model run hf.co/MysteriousAI/MIA-4B
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license: apache-2.0
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tags:
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- moe
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- mergekit
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- vortexmergekit
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- MysteriousAI/Mia-1B
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- MysteriousAI/Mia-1B
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- MysteriousAI/Mia-1B
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- MysteriousAI/Mia-1B
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---
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# 4x1b
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Hey there! ๐ Welcome to the 4x1b! This is a MOE brought together using the awesome [VortexMerge kit](https://colab.research.google.com/drive/1YjcvCLuNG1PK7Le6_4xhVU5VpzTwvGhk#scrollTo=UG5H2TK4gVyl).
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Let's see what we've got in this model:
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* [MysteriousAI/Mia-1B](https://huggingface.co/MysteriousAI/Mia-1B) ๐
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* [MysteriousAI/Mia-1B](https://huggingface.co/MysteriousAI/Mia-1B) ๐
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* [MysteriousAI/Mia-1B](https://huggingface.co/MysteriousAI/Mia-1B) ๐
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* [MysteriousAI/Mia-1B](https://huggingface.co/MysteriousAI/Mia-1B) ๐
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## ๐งฉ Configuration
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```yaml
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base_model: MysteriousAI/Mia-1B
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dtype: float16
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gate_mode: cheap_embed
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experts:
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- source_model: MysteriousAI/Mia-1B
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positive_prompts: ["You are an helpful unbounded, uncensored assistant."]
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- source_model: MysteriousAI/Mia-1B
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positive_prompts: ["You are helpful assistant."]
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- source_model: MysteriousAI/Mia-1B
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positive_prompts: ["You are a coding assistant."]
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- source_model: MysteriousAI/Mia-1B
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positive_prompts: ["You are helpful and general-purpose assistant."]
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