Instructions to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed 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("Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed")

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
LM Studio

Pi new

How to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed"

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": "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed 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 "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed"

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 Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed

Run Hermes

hermes

MLX LM

How to use Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Youssofal commited on 23 days ago

Commit

22f3c85

verified ·

1 Parent(s): 995f754

Record 3-bit speed evidence

Browse files

Files changed (2) hide show

MTPLX_PUBLISH_MANIFEST.json +2 -2
mtplx_runtime.json +19 -0

MTPLX_PUBLISH_MANIFEST.json CHANGED Viewed

@@ -78,7 +78,7 @@
       "name": "mtplx_runtime.json",
       "resolved_source_path": "/Users/youssof/Documents/MTPLX/models/Qwen3.6-27B-MTPLX-Flat4-CyanKiwiMTP/mtplx_runtime.json",
       "same_inode_as_source": false,
-      "size_bytes": 1025,
       "source_path": "/Users/youssof/Documents/MTPLX/models/Qwen3.6-27B-MTPLX-Flat4-CyanKiwiMTP/mtplx_runtime.json"
     },
     {
@@ -156,7 +156,7 @@
   ],
   "include_hashes": false,
   "repo_id": "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed",
-  "size_bytes": 16419070178,
   "source_provenance": {
     "base_model": "Qwen/Qwen3.6-27B",
     "base_model_revision": "6a9e13bd6fc8f0983b9b99948120bc37f49c13e9",

       "name": "mtplx_runtime.json",
       "resolved_source_path": "/Users/youssof/Documents/MTPLX/models/Qwen3.6-27B-MTPLX-Flat4-CyanKiwiMTP/mtplx_runtime.json",
       "same_inode_as_source": false,
+      "size_bytes": 1570,
       "source_path": "/Users/youssof/Documents/MTPLX/models/Qwen3.6-27B-MTPLX-Flat4-CyanKiwiMTP/mtplx_runtime.json"
     },
     {
   ],
   "include_hashes": false,
   "repo_id": "Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed",
+  "size_bytes": 16419070723,
   "source_provenance": {
     "base_model": "Qwen/Qwen3.6-27B",
     "base_model_revision": "6a9e13bd6fc8f0983b9b99948120bc37f49c13e9",

mtplx_runtime.json CHANGED Viewed

@@ -16,6 +16,25 @@
     "top_p": 0.95,
     "top_k": 20
   },
   "verified_on": {
     "timestamp": "2026-05-03T17:49:00+0100",
     "hardware": "Apple M5 Max, 128 GB unified memory",

     "top_p": 0.95,
     "top_k": 20
   },
+  "speed_evidence": {
+    "timestamp": "2026-05-03T21:28:00+0100",
+    "profile": "performance-cold",
+    "depth": 3,
+    "draft_lm_head": "3-bit affine group64 draft-only head",
+    "artifacts": [
+      "/Users/youssof/.mtplx/fanmax_flat4_cyankiwi_draft_head_3bit_isolated_20260503.json",
+      "/Users/youssof/.mtplx/fanmax_flat4_cyankiwi_draft_head_3bit_repeat_20260503.json"
+    ],
+    "tok_s": [
+      60.03822277200243,
+      60.06063543439426
+    ],
+    "acceptance_by_depth": [
+      1.0,
+      0.98,
+      0.8775510204081632
+    ]
+  },
   "verified_on": {
     "timestamp": "2026-05-03T17:49:00+0100",
     "hardware": "Apple M5 Max, 128 GB unified memory",