Image-Text-to-Text
MLX
Safetensors
gemma4
apple-silicon
bf16
Mixture of Experts
mixture-of-experts
on-device
conversational
Instructions to use LetheanNetwork/lemmy-mlx-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LetheanNetwork/lemmy-mlx-bf16 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("LetheanNetwork/lemmy-mlx-bf16") config = load_config("LetheanNetwork/lemmy-mlx-bf16") # 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 LetheanNetwork/lemmy-mlx-bf16 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "LetheanNetwork/lemmy-mlx-bf16"
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": "LetheanNetwork/lemmy-mlx-bf16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use LetheanNetwork/lemmy-mlx-bf16 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 "LetheanNetwork/lemmy-mlx-bf16"
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 LetheanNetwork/lemmy-mlx-bf16
Run Hermes
hermes
File size: 787 Bytes
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library_name: mlx
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: image-text-to-text
base_model:
- LetheanNetwork/lemmy
tags:
- gemma4
- mlx
- apple-silicon
- bf16
- moe
- mixture-of-experts
- on-device
- conversational
---
# LetheanNetwork/lemmy-mlx-bf16
Gemma 4 26B A4B MoE in MLX format, full bf16 precision, converted from
[LetheanNetwork/lemmy](https://huggingface.co/LetheanNetwork/lemmy)'s bf16
safetensors via `mlx_lm.convert --dtype bfloat16` (no quantization).
The full-precision reference for the MLX family. For the LEK-merged
variant see [`lthn/lemmy`](https://huggingface.co/lthn/lemmy).
## License
Apache 2.0, subject to the [Gemma Terms of Use](https://ai.google.dev/gemma/docs/gemma_4_license).
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