Instructions to use JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S 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("JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S")
config = load_config("JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S")

# 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 JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S"

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": "JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S 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 "JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S"

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 JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S"

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 "JANGQ-AI/Qwen3.8-Flash-Next-JANG_6S" \
  --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"

jangq commited on Sep 4

Commit

ff0a77b

verified ·

1 Parent(s): b5ea882

Move draft-head sidecar to mtp_draft/ — root *.safetensors collide with glob-merging loaders (vmlx .52 duplicate-tensor error)

Browse files

Files changed (2) hide show

vmlx_mtp_proposal_head.safetensors → mtp_draft/vmlx_mtp_proposal_head.safetensors +0 -0
vmlx_mtp_proposal_head.json +1 -1

vmlx_mtp_proposal_head.safetensors → mtp_draft/vmlx_mtp_proposal_head.safetensors RENAMED Viewed

File without changes

vmlx_mtp_proposal_head.json CHANGED Viewed

@@ -11,7 +11,7 @@
  "proposal_bits": 4,
  "basis": "settled 2026-09-03 A/B on Qwen3.8-Flash-Next-JANG_4S fixed-D3: q4 proposal head +2.3-3.0% count / +1.8-2.8% code over three same-thermal pairs; target verify keeps the checkpoint head",
  "draft_artifact": {
-  "file": "vmlx_mtp_proposal_head.safetensors",
   "sha256": "b05e7c98c4985c85a91518892ed78a62f017d73c1b8007382fa1bf343de4dc3f",
   "bits": 4,
   "group_size": 64,

  "proposal_bits": 4,
  "basis": "settled 2026-09-03 A/B on Qwen3.8-Flash-Next-JANG_4S fixed-D3: q4 proposal head +2.3-3.0% count / +1.8-2.8% code over three same-thermal pairs; target verify keeps the checkpoint head",
  "draft_artifact": {
+  "file": "mtp_draft/vmlx_mtp_proposal_head.safetensors",
   "sha256": "b05e7c98c4985c85a91518892ed78a62f017d73c1b8007382fa1bf343de4dc3f",
   "bits": 4,
   "group_size": 64,