Image-Text-to-Text
MLX
Safetensors
English
Korean
Chinese
qwen3_5_moe
quantized
mixed-precision
mixture-of-experts
apple-silicon
dwq
hybrid-attention
conversational
4-bit precision
Instructions to use avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic 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("avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic") config = load_config("avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic") # 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
- Pi
How to use avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic"
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": "avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic 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 "avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic"
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 avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic"
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 "avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic" \ --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"
Upload folder using huggingface_hub
Browse files- README.md +6 -6
- config.json +705 -1
- configuration.json +1 -0
- model-00001-of-00004.safetensors +2 -2
- model-00002-of-00004.safetensors +2 -2
- model-00003-of-00004.safetensors +2 -2
- model-00004-of-00004.safetensors +2 -2
- model.safetensors.index.json +661 -161
- preprocessor_config.json +21 -0
- processor_config.json +50 -0
- tokenizer_config.json +1 -1
- video_preprocessor_config.json +21 -0
- vocab.json +0 -0
README.md
CHANGED
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@@ -7,7 +7,7 @@ license: apache-2.0
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base_model: Qwen/Qwen3.6-35B-A3B
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base_model_relation: quantized
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library_name: mlx
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-
pipeline_tag: text-
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tags:
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- mlx
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- qwen3_5_moe
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@@ -46,15 +46,15 @@ Everything below is **measured, not projected** — KL / top-1 flip on a fixed 4
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With int8 KV that leaves ~1.5 GiB of cache ≈ **150 K tokens** of context (KV here is tiny — see below). 111 tok/s decode makes this the best speed-per-GB option for 16 GB machines; prefer it over the dense 27B 16 GB build when throughput matters more than per-token quality.
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-
## Multimodal (
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-
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-
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-
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```bash
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pip install mlx-vlm
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-
python -m mlx_vlm generate --model avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic
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--image photo.jpg --prompt "이미지의 텍스트를 읽어줘." --max-tokens 300
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```
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base_model: Qwen/Qwen3.6-35B-A3B
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base_model_relation: quantized
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library_name: mlx
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+
pipeline_tag: image-text-to-text
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tags:
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- mlx
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- qwen3_5_moe
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| 46 |
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| 47 |
With int8 KV that leaves ~1.5 GiB of cache ≈ **150 K tokens** of context (KV here is tiny — see below). 111 tok/s decode makes this the best speed-per-GB option for 16 GB machines; prefer it over the dense 27B 16 GB build when throughput matters more than per-token quality.
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+
## Multimodal (default)
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+
`main` carries the full multimodal stack — 4.0bpw text weights + the vision tower at
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8-bit (verified with EN/KO OCR tests). Plain mlx-lm loads `main` fine for text-only use;
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the `text` branch saves 0.60 GB if you never need images.
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```bash
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pip install mlx-vlm
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+
python -m mlx_vlm generate --model avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic \
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--image photo.jpg --prompt "이미지의 텍스트를 읽어줘." --max-tokens 300
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```
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config.json
CHANGED
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"architectures": [
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"Qwen3_5MoeForConditionalGeneration"
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],
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"eos_token_id": [
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248046,
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248044
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],
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"image_token_id": 248056,
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"model_type": "qwen3_5_moe",
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"quantization": {
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"group_size": 64,
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"bits": 4,
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"mode": "affine",
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| 15 |
"language_model.model.embed_tokens": {
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"bits": 4,
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"group_size": 16,
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@@ -2577,6 +2926,342 @@
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"group_size": 64,
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"bits": 4,
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"mode": "affine",
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"language_model.model.embed_tokens": {
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"group_size": 16,
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@@ -5138,6 +5823,7 @@
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"mode": "nvfp4"
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@@ -5221,7 +5907,7 @@
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-
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"shared_expert_intermediate_size": 512,
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@@ -5230,8 +5916,26 @@
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"vocab_size": 248320
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@@ -1185,14 +1184,14 @@
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| 1185 |
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@@ -1486,6 +1485,507 @@
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| 1486 |
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| 1487 |
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| 1488 |
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| 1489 |
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| 1490 |
}
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| 1491 |
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| 1 |
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| 2 |
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| 3 |
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| 5 |
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"vision_tower.merger.linear_fc1.bias": "model-00001-of-00004.safetensors",
|
| 1976 |
+
"vision_tower.merger.linear_fc1.biases": "model-00001-of-00004.safetensors",
|
| 1977 |
+
"vision_tower.merger.linear_fc1.scales": "model-00001-of-00004.safetensors",
|
| 1978 |
+
"vision_tower.merger.linear_fc1.weight": "model-00001-of-00004.safetensors",
|
| 1979 |
+
"vision_tower.merger.linear_fc2.bias": "model-00001-of-00004.safetensors",
|
| 1980 |
+
"vision_tower.merger.linear_fc2.biases": "model-00001-of-00004.safetensors",
|
| 1981 |
+
"vision_tower.merger.linear_fc2.scales": "model-00001-of-00004.safetensors",
|
| 1982 |
+
"vision_tower.merger.linear_fc2.weight": "model-00001-of-00004.safetensors",
|
| 1983 |
+
"vision_tower.merger.norm.bias": "model-00001-of-00004.safetensors",
|
| 1984 |
+
"vision_tower.merger.norm.weight": "model-00001-of-00004.safetensors",
|
| 1985 |
+
"vision_tower.patch_embed.proj.bias": "model-00001-of-00004.safetensors",
|
| 1986 |
+
"vision_tower.patch_embed.proj.weight": "model-00001-of-00004.safetensors",
|
| 1987 |
+
"vision_tower.pos_embed.biases": "model-00001-of-00004.safetensors",
|
| 1988 |
+
"vision_tower.pos_embed.scales": "model-00001-of-00004.safetensors",
|
| 1989 |
+
"vision_tower.pos_embed.weight": "model-00001-of-00004.safetensors"
|
| 1990 |
}
|
| 1991 |
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.5,
|
| 8 |
+
0.5,
|
| 9 |
+
0.5
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "Qwen3VLImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.5,
|
| 14 |
+
0.5,
|
| 15 |
+
0.5
|
| 16 |
+
],
|
| 17 |
+
"max_pixels": 16777216,
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"min_pixels": 65536,
|
| 20 |
+
"patch_size": 16,
|
| 21 |
+
"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"temporal_patch_size": 2
|
| 23 |
+
},
|
| 24 |
+
"processor_class": "Qwen3VLProcessor",
|
| 25 |
+
"video_processor": {
|
| 26 |
+
"do_convert_rgb": true,
|
| 27 |
+
"do_normalize": true,
|
| 28 |
+
"do_rescale": true,
|
| 29 |
+
"fps": 2.0,
|
| 30 |
+
"image_mean": [
|
| 31 |
+
0.5,
|
| 32 |
+
0.5,
|
| 33 |
+
0.5
|
| 34 |
+
],
|
| 35 |
+
"image_std": [
|
| 36 |
+
0.5,
|
| 37 |
+
0.5,
|
| 38 |
+
0.5
|
| 39 |
+
],
|
| 40 |
+
"max_frames": 768,
|
| 41 |
+
"max_pixels": 25165824,
|
| 42 |
+
"merge_size": 2,
|
| 43 |
+
"min_frames": 4,
|
| 44 |
+
"min_pixels": 4096,
|
| 45 |
+
"patch_size": 16,
|
| 46 |
+
"rescale_factor": 0.00392156862745098,
|
| 47 |
+
"temporal_patch_size": 2,
|
| 48 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 49 |
+
}
|
| 50 |
+
}
|
tokenizer_config.json
CHANGED
|
@@ -23,9 +23,9 @@
|
|
| 23 |
},
|
| 24 |
"pad_token": "<|endoftext|>",
|
| 25 |
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
|
|
|
| 26 |
"split_special_tokens": false,
|
| 27 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
-
"tool_parser_type": "qwen3_coder",
|
| 29 |
"unk_token": null,
|
| 30 |
"video_token": "<|video_pad|>",
|
| 31 |
"vision_bos_token": "<|vision_start|>",
|
|
|
|
| 23 |
},
|
| 24 |
"pad_token": "<|endoftext|>",
|
| 25 |
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
"split_special_tokens": false,
|
| 28 |
"tokenizer_class": "Qwen2Tokenizer",
|
|
|
|
| 29 |
"unk_token": null,
|
| 30 |
"video_token": "<|video_pad|>",
|
| 31 |
"vision_bos_token": "<|vision_start|>",
|
video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 25165824,
|
| 4 |
+
"shortest_edge": 4096
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
+
}
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|