Instructions to use pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-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("pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit")
config = load_config("pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-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)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit"

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": "pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit 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 "pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit"

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 pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit

Run Hermes

hermes

OpenClaw new

How to use pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit"

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 "pipenetwork/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-MLX-4bit" \
  --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"

pipenetwork commited on 9 days ago

Commit

af5dfec

verified ·

1 Parent(s): fcc2061

Add measured quantization-quality comparison vs mxfp4

Browse files

Files changed (1) hide show

README.md +18 -1

README.md CHANGED Viewed

@@ -105,6 +105,23 @@ print(generate(model, processor, prompt, ["your_image.jpg"], max_tokens=512, ver
 Group size 64, `affine` mode. The vision tower is left unquantized (mlx-vlm's default for multimodal projector/patch-embed modules), so the size delta between tiers comes from the language model.
 ## Sampling
 DavidAU's notes for this model, which carry over:
@@ -131,7 +148,7 @@ These are not measurements of these MLX repos — treat them as characterising t
 ## Conversion tooling
-Scripts and the provenance proof: [github.com/PipeNetwork/defiant-fable-mlx](https://github.com/PipeNetwork/defiant-fable-mlx)
 ## License

 Group size 64, `affine` mode. The vision tower is left unquantized (mlx-vlm's default for multimodal projector/patch-embed modules), so the size delta between tiers comes from the language model.
+## Measured quantization quality
+Against the bf16 reference these were converted from — 65,536 tokens of wikitext-2 test
+at 1024 context, identical token ids through mlx-lm, on an M3 Ultra:
+| model | ppl | Δppl | KL(bf16‖quant) | top-1 vs bf16 | decode |
+|---|---|---|---|---|---|
+| bf16 reference | 8.1273 | — | — | — | 39.0 t/s |
+| **this 4bit** (affine, group 64) | **8.5816** | **+5.59%** | **0.0733** | **87.06%** | 109.9 t/s |
+| [nightmedia mxfp4](https://huggingface.co/nightmedia/Qwen3.5-9B-DS9-USS-Defiant-mxfp4-mlx) (group 32) | 8.9443 | +10.05% | 0.1133 | 82.34% | 114.4 t/s |
+The 4bit tier loses about half the perplexity that MXFP4 does and stays measurably closer
+to the original distribution, at the cost of 4.5 vs 4.25 bits/weight (~6% more storage)
+and ~4% slower decode. Both are quantizations of the same weights, so this compares the
+quantization scheme only. Reproduce with
+[`bench.py`](https://github.com/PipeNetwork/defiant-fable-mlx).
 ## Sampling
 DavidAU's notes for this model, which carry over:
 ## Conversion tooling
+Scripts, benchmark and the provenance proof: [github.com/PipeNetwork/defiant-fable-mlx](https://github.com/PipeNetwork/defiant-fable-mlx)
 ## License