Image-Text-to-Text
MLX
Safetensors
English
Chinese
step3p7
jang
jang-2l
stepfun
vision-language
conversational
custom_code
modelopt
Instructions to use OsaurusAI/Step-3.7-Flash-JANG_2L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OsaurusAI/Step-3.7-Flash-JANG_2L with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("OsaurusAI/Step-3.7-Flash-JANG_2L") config = load_config("OsaurusAI/Step-3.7-Flash-JANG_2L") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use OsaurusAI/Step-3.7-Flash-JANG_2L with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "OsaurusAI/Step-3.7-Flash-JANG_2L"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "OsaurusAI/Step-3.7-Flash-JANG_2L" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use OsaurusAI/Step-3.7-Flash-JANG_2L with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "OsaurusAI/Step-3.7-Flash-JANG_2L"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default OsaurusAI/Step-3.7-Flash-JANG_2L
Run Hermes
hermes
Update Step JANG speed proof
Browse files
README.md
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"prompt_tokens": 26,
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"generated_tokens": 58,
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"prefill_s": 9.161997079849243,
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}
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```
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"prompt_tokens": 26,
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"generated_tokens": 58,
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"prefill_s": 9.161997079849243,
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"contains_final_4": true
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}
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```
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Speed note: short cold measurements include MLX graph/kernel compile and are not representative of steady decode. A no-wrapper warmed decode run over 32 measured tokens produced:
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```json
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{
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"prefill_s": 9.369971990585327,
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"warm_tokens": 4,
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"measured_tokens": 32,
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"decode_s": 0.7534263134002686,
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"tok_s": 42.47263392697507
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}
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```
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