Instructions to use TensorFold/Nex-N2.5-mini-MLX-oQ6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TensorFold/Nex-N2.5-mini-MLX-oQ6 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("TensorFold/Nex-N2.5-mini-MLX-oQ6")
config = load_config("TensorFold/Nex-N2.5-mini-MLX-oQ6")

# 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

How to use TensorFold/Nex-N2.5-mini-MLX-oQ6 with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "TensorFold/Nex-N2.5-mini-MLX-oQ6"

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "TensorFold/Nex-N2.5-mini-MLX-oQ6"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use TensorFold/Nex-N2.5-mini-MLX-oQ6 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 "TensorFold/Nex-N2.5-mini-MLX-oQ6"

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 TensorFold/Nex-N2.5-mini-MLX-oQ6

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use TensorFold/Nex-N2.5-mini-MLX-oQ6 with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "TensorFold/Nex-N2.5-mini-MLX-oQ6"

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "TensorFold/Nex-N2.5-mini-MLX-oQ6" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

ashxhart commited on 8 days ago

Commit

8eaa70e

verified ·

1 Parent(s): 1112456

Rebrand model card to TensorFold

Browse files

Files changed (1) hide show

README.md +9 -3

README.md CHANGED Viewed

@@ -18,11 +18,17 @@ tags:
   - 6-bit
 ---
 <p align="center"><a href="https://nex-agi.com/"><img src="./assets/NEX_logo.svg" width="192" height="61" alt="Nex-AGI"></a></p>
 <h1 align="center">Nex-N2.5 mini · MLX oQ6</h1>
-<p align="center">A community mixed-precision conversion by <a href="https://huggingface.co/Vontra">Vontra</a> for Apple Silicon.</p>
 ## Model
@@ -35,7 +41,7 @@ This release does not provide tested MTP decoding; keep MTP disabled.
 ## Download and use
 ```bash
-hf download Vontra/Nex-N2.5-mini-MLX-oQ6 --local-dir ./Nex-N2.5-mini-MLX-oQ6
 ```
 Add the folder to oMLX model directories, refresh the model list and select it.
@@ -86,4 +92,4 @@ Model training, architecture and the original Nex logo belong to Nex-AGI and the
 This is an independent community conversion, not an official Nex-AGI release.
 Upstream benchmark scores are not evaluations of this quant.
-[Follow Vontra for new Apple Silicon releases and fixes.](https://huggingface.co/Vontra)

   - 6-bit
 ---
+<p align="center">
+  <a href="https://tensorfold.dev">
+    <img src="https://huggingface.co/spaces/TensorFold/README/resolve/main/tensorfold-logo.png" alt="TensorFold" width="160">
+  </a>
+</p>
 <p align="center"><a href="https://nex-agi.com/"><img src="./assets/NEX_logo.svg" width="192" height="61" alt="Nex-AGI"></a></p>
 <h1 align="center">Nex-N2.5 mini · MLX oQ6</h1>
+<p align="center">A community mixed-precision conversion by <a href="https://huggingface.co/TensorFold">TensorFold</a> for Apple Silicon.</p>
 ## Model
 ## Download and use
 ```bash
+hf download TensorFold/Nex-N2.5-mini-MLX-oQ6 --local-dir ./Nex-N2.5-mini-MLX-oQ6
 ```
 Add the folder to oMLX model directories, refresh the model list and select it.
 This is an independent community conversion, not an official Nex-AGI release.
 Upstream benchmark scores are not evaluations of this quant.
+[Follow TensorFold for new Apple Silicon releases and fixes.](https://huggingface.co/TensorFold)