Instructions to use nightmedia/granite-4.1-8b-mxfp8-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nightmedia/granite-4.1-8b-mxfp8-mlx with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("nightmedia/granite-4.1-8b-mxfp8-mlx")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use nightmedia/granite-4.1-8b-mxfp8-mlx with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "nightmedia/granite-4.1-8b-mxfp8-mlx"

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": "nightmedia/granite-4.1-8b-mxfp8-mlx"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use nightmedia/granite-4.1-8b-mxfp8-mlx 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 "nightmedia/granite-4.1-8b-mxfp8-mlx"

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 nightmedia/granite-4.1-8b-mxfp8-mlx

Run Hermes

hermes

MLX LM

How to use nightmedia/granite-4.1-8b-mxfp8-mlx with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "nightmedia/granite-4.1-8b-mxfp8-mlx"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "nightmedia/granite-4.1-8b-mxfp8-mlx"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "nightmedia/granite-4.1-8b-mxfp8-mlx",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

nightmedia commited on Apr 30

Commit

f57974d

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1 Parent(s): 072f44a

Update README.md

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@@ -17,6 +17,23 @@ Brainwaves
 mxfp8    0.486,0.666,0.875,0.636,0.450,0.766,0.631
 ```
 This model [granite-4.1-8b-mxfp8-mlx](https://huggingface.co/granite-4.1-8b-mxfp8-mlx) was
 converted to MLX format from [ibm-granite/granite-4.1-8b](https://huggingface.co/ibm-granite/granite-4.1-8b)

 mxfp8    0.486,0.666,0.875,0.636,0.450,0.766,0.631
 ```
+# Other models in this size
+gemma-4-E4B-it
+```brainwaves
+         arc   arc/e boolq hswag obkqa piqa  wino
+bf16     0.490,0.674,0.793,0.612,0.416,0.756,0.669
+mxfp8    0.480,0.656,0.797,0.608,0.400,0.755,0.665
+mxfp4    0.455,0.607,0.851,0.585,0.402,0.744,0.651
+```
+Qwen3.5-9B
+```brainwaves
+mxfp8    0.417,0.458,0.623,0.634,0.338,0.737,0.639
+mxfp4    0.419,0.472,0.622,0.634,0.352,0.739,0.644
+q8-hi    0.413,0.455,0.622,0.642,0.346,0.746,0.654
+q8       0.418,0.455,0.622,0.643,0.342,0.748,0.659
+```
 This model [granite-4.1-8b-mxfp8-mlx](https://huggingface.co/granite-4.1-8b-mxfp8-mlx) was
 converted to MLX format from [ibm-granite/granite-4.1-8b](https://huggingface.co/ibm-granite/granite-4.1-8b)