Instructions to use wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8 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("wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8")
config = load_config("wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8")

# 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 wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8 with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8"

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": "wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8 with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8"

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 "wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8" \
  --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"

Hermes Agent

How to use wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8 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 "wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8"

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 wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8

Run Hermes

hermes

wangkezun commited on Apr 26

Commit

61a9828

verified ·

1 Parent(s): ee94191

Initial upload: VLM-MLX-oQ8 quantization

Browse files

Files changed (19) hide show

.gitattributes +1 -0
README.md +185 -0
chat_template.jinja +158 -0
config.json +2645 -0
generation_config.json +12 -0
model-00001-of-00008.safetensors +3 -0
model-00002-of-00008.safetensors +3 -0
model-00003-of-00008.safetensors +3 -0
model-00004-of-00008.safetensors +3 -0
model-00005-of-00008.safetensors +3 -0
model-00006-of-00008.safetensors +3 -0
model-00007-of-00008.safetensors +3 -0
model-00008-of-00008.safetensors +3 -0
model.safetensors.index.json +0 -0
preprocessor_config.json +21 -0
processor_config.json +63 -0
tokenizer.json +3 -0
tokenizer_config.json +34 -0
video_preprocessor_config.json +21 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md ADDED Viewed

	@@ -0,0 +1,185 @@

+---
+license: apache-2.0
+base_model: lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled
+base_model_relation: quantized
+library_name: mlx
+pipeline_tag: image-text-to-text
+language:
+  - en
+  - zh
+tags:
+  - mlx
+  - mlx-vlm
+  - apple-silicon
+  - oq
+  - oq8
+  - quantized
+  - 8-bit
+  - moe
+  - mixture-of-experts
+  - vision-language
+  - multimodal
+  - qwen
+  - qwen3.6
+  - reasoning
+  - chain-of-thought
+  - distillation
+  - claude
+---
+# Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8
+Mixed-precision quantization for Apple Silicon, with **vision-language (VLM) capabilities preserved**. **Highest quality version** in the series — closest to BF16 baseline.
+Quantized from [`lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled`](https://huggingface.co/lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled) using [oMLX](https://omlx.app)'s oQ8 algorithm (sensitivity-aware mixed-precision quantization).
+## 📊 Specs
+| Field | Value |
+|---|---|
+| **Base model** | Qwen/Qwen3.6-35B-A3B (35B params, 128 experts MoE, A3B activation) |
+| **Fine-tune** | LoRA distilled from Claude 4.7 Opus reasoning outputs (lordx64 dataset) |
+| **Quantization** | oMLX oQ8 (mixed-precision, ~8.7 bpw average) |
+| **Modality** | Vision + Text (VLM) |
+| **Format** | MLX safetensors |
+| **Model size** | ~35 GB |
+| **Inference memory** | ~39 GB (incl. KV cache and runtime overhead) |
+| **Recommended hardware** | Apple Silicon M2 Ultra 64GB+ / M3 Max / M5 Max |
+## 🚀 Quick Start
+### Install
+```bash
+pip install mlx-vlm
+# Or with uv:
+uv tool install mlx-vlm --with torch --with torchvision
+```
+### Inference (image + text)
+```bash
+mlx_vlm.generate \
+  --model wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8 \
+  --image /path/to/image.jpg \
+  --prompt "Describe this image in detail." \
+  --max-tokens 256
+```
+### Python API
+```python
+from mlx_vlm import load, generate
+model, processor = load(
+    "wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8"
+)
+output = generate(
+    model,
+    processor,
+    image="/path/to/image.jpg",
+    prompt="What's in this image?",
+    max_tokens=512,
+)
+print(output)
+```
+### OpenAI-compatible Server
+```bash
+mlx_vlm.server \
+  --model wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8 \
+  --port 8080
+```
+Drop-in compatible with OpenAI clients including AstrBot, Open WebUI, LibreChat, and Continue.dev.
+## 📈 Measured Performance
+Benchmarked on MacBook Pro M5 Max 128GB:
+| Metric | Value |
+|---|---|
+| Prompt processing | ~637 tokens/s |
+| Generation speed | ~96 tokens/s |
+| Peak memory | 38.7 GB |
+| Model load time | ~14 sec |
+### When to Choose oQ8 over oQ6
+oQ8 retains slightly more precision than oQ6, but the **observable quality difference is small** for most tasks. Use oQ8 when:
+- You need the absolute highest fidelity quantization
+- Running quality benchmarks against the BF16 reference
+- Memory budget is generous (39+ GB free)
+For most users, [oQ6](https://huggingface.co/wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ6) is the better choice — comparable quality at 8 GB less footprint.
+## 🧠 Model Behavior
+Inherits the Claude reasoning distillation: the model uses `<think>...</think>` tags to structure its chain-of-thought before producing the final response.
+**Best for:**
+- Multimodal reasoning tasks (image analysis with complex thinking)
+- Agentic workflows / tool use
+- Quality-sensitive applications where size is not a constraint
+- Quantization quality reference / baseline comparisons
+## 🔬 Quantization Details
+- **Source model**: `Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled` (BF16 MLX-converted)
+- **Sensitivity model**: 8-bit quantization of the same distilled model (self-referenced sens for tight distribution alignment)
+- **Non-quant weight dtype**: bfloat16 (M3+ optimal)
+- **Text-Only mode**: OFF (vision tower preserved)
+- **Quantizer**: oMLX with mlx-vlm conversion path
+The vision processor configurations (`preprocessor_config.json`, `video_preprocessor_config.json`, `processor_config.json`) were sourced from the official Qwen base model to ensure proper image input handling — these were missing from the upstream distilled checkpoint.
+## 📦 Other Versions in This Series
+| Version | Size | Best for |
+|---|---|---|
+| [VLM-MLX-oQ4](https://huggingface.co/wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ4) | 19.6 GB | Memory-constrained inference |
+| [VLM-MLX-oQ6](https://huggingface.co/wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ6) | 27 GB | **Recommended: best quality/size ratio** |
+| [VLM-MLX-oQ8](https://huggingface.co/wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-VLM-MLX-oQ8) | 35 GB | Quality reference baseline |
+| [Text-MLX-oQ4](https://huggingface.co/wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-Text-MLX-oQ4) | 19 GB | Text-only, fastest |
+| [Text-MLX-oQ6](https://huggingface.co/wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-Text-MLX-oQ6) | 27 GB | Text-only, balanced |
+| [Text-MLX-oQ8](https://huggingface.co/wangkezun/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-Text-MLX-oQ8) | 34 GB | Text-only, max quality |
+**Choosing a version:**
+- Text-only workflows (coding, agents, dialogue) → `Text` variants are faster and lighter
+- Image input needed (OCR, visual analysis, screenshot understanding) → `VLM` variants
+- oQ6 is the sweet spot for most use cases. oQ8 yields diminishing returns relative to its size.
+## ⚠️ Disclaimer
+This model derives from a chain of upstream work:
+1. Base model [`Qwen/Qwen3.6-35B-A3B`](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) by Alibaba's Qwen team (Apache-2.0)
+2. Distilled variant [`lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled`](https://huggingface.co/lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled) by lordx64 using Claude 4.7 Opus reasoning outputs (Apache-2.0)
+3. This quantization by [@wangkezun](https://huggingface.co/wangkezun) using oMLX on Apple Silicon
+**This model is not affiliated with or endorsed by Anthropic, PBC.** "Claude" is a trademark of Anthropic, PBC. The use of "Claude" in this model name is purely descriptive (nominative fair use) to indicate the upstream training data lineage.
+By using this model, you agree to comply with:
+- The Apache-2.0 license inherited from the base model
+- Any applicable license terms of the upstream distillation dataset
+- Local laws and regulations governing AI model usage in your jurisdiction
+## 🙏 Acknowledgments
+- **Alibaba Qwen Team** — for the Qwen3.6-35B-A3B base model
+- **lordx64** — for the reasoning-focused LoRA distillation
+- **Jundot (oMLX team)** — for the oQ mixed-precision quantization algorithm
+- **Apple MLX team** — for the MLX framework and tooling
+- **mlx-vlm contributors** — for the VLM conversion path
+## 📜 License
+Apache-2.0 (inherited from base model).
+---
+**Generated**: 2026-04-26
+**Quantizer**: [@wangkezun](https://huggingface.co/wangkezun)

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,158 @@

+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- set num_sys = 0 %}
+{%- set merged_system = '' %}
+{%- if messages[0].role == 'system' or messages[0].role == 'developer' %}
+    {%- set first = render_content(messages[0].content, false, true)|trim %}
+    {%- if messages|length > 1 and (messages[1].role == 'system' or messages[1].role == 'developer') %}
+        {%- set second = render_content(messages[1].content, false, true)|trim %}
+        {%- set merged_system = first + '\n' + second %}
+        {%- set num_sys = 2 %}
+    {%- else %}
+        {%- set merged_system = first %}
+        {%- set num_sys = 1 %}
+    {%- endif %}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if merged_system %}
+        {{- '\n\n' + merged_system }}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if merged_system %}
+        {{- '<|im_start|>system\n' + merged_system + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if loop.index0 >= num_sys and message.role != "system" and message.role != "developer" %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is mapping %}
+                    {%- for args_name in tool_call.arguments %}
+                        {%- set args_value = tool_call.arguments[args_name] %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}
+{#- Unsloth fixes - developer role, tool calling #}

config.json ADDED Viewed

	@@ -0,0 +1,2645 @@

+{
+  "architectures": [
+    "Qwen3_5MoeForConditionalGeneration"
+  ],
+  "bos_token_id": null,
+  "eos_token_id": 248046,
+  "image_token_id": 248056,
+  "model_name": "unsloth/Qwen3.6-35B-A3B",
+  "model_type": "qwen3_5_moe",
+  "pad_token_id": 248055,
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_output_gate": true,
+    "bos_token_id": 248044,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 248044,
+    "full_attention_interval": 4,
+    "head_dim": 256,
+    "hidden_act": "silu",
+    "hidden_size": 2048,
+    "initializer_range": 0.02,
+    "layer_types": [
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention"
+    ],
+    "linear_conv_kernel_dim": 4,
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+}

generation_config.json ADDED Viewed

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