Qwythos-9B-Claude-Mythos-5-1M-mlx
Collection
公式のモデルを自分でmlxに変換したもの。 • 6 items • Updated
How to use ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit 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("ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit")
config = load_config("ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit")
# 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)How to use ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit with Pi:
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit"
# 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": "ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit"
}
]
}
}
}# Start Pi in your project directory: pi
How to use ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit with Hermes Agent:
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit"
# 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 ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit
hermes
A conversion of empero-ai/Qwythos-9B-Claude-Mythos-5-1M to Apple's MLX format, quantized to 4bit.
mlx-vlmempero-ai/Qwythos-9B-Claude-Mythos-5-1MQwen/Qwen3.5-9BUses the original chat_template.jinja from the upstream model as-is (the model identifies itself as Qwythos / Empero AI).
uv add mlx-vlm
from mlx_vlm import load, generate
from mlx_vlm.prompt_utils import apply_chat_template
model, processor = load("ToPo-ToPo/Qwythos-9B-Claude-Mythos-5-1M-mlx-4bit")
messages = [{"role": "user", "content": "Hello"}]
prompt = apply_chat_template(processor, model.config, messages)
print(generate(model, processor, prompt, max_tokens=256))
This repository is a derivative work distributed under Apache-2.0. The original attribution and license are inherited as noted above.
4-bit
Base model
Qwen/Qwen3.5-9B-Base