Image-Text-to-Text
MLX
Safetensors
qwen3_5_moe
apple-silicon
speculative-decoding
qwen
qwen3
qwen3-next
mtp
mtplx
local-ai
vision-language
multimodal
conversational
Instructions to use Jonandrop/Ornith-1.0-35B-MTPLX-Vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Jonandrop/Ornith-1.0-35B-MTPLX-Vision 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("Jonandrop/Ornith-1.0-35B-MTPLX-Vision") config = load_config("Jonandrop/Ornith-1.0-35B-MTPLX-Vision") # 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 Jonandrop/Ornith-1.0-35B-MTPLX-Vision with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Jonandrop/Ornith-1.0-35B-MTPLX-Vision"
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": "Jonandrop/Ornith-1.0-35B-MTPLX-Vision" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use Jonandrop/Ornith-1.0-35B-MTPLX-Vision 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 "Jonandrop/Ornith-1.0-35B-MTPLX-Vision"
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 Jonandrop/Ornith-1.0-35B-MTPLX-Vision
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Jonandrop/Ornith-1.0-35B-MTPLX-Vision with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Jonandrop/Ornith-1.0-35B-MTPLX-Vision"
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 "Jonandrop/Ornith-1.0-35B-MTPLX-Vision" \ --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 config.json with huggingface_hub
Browse files- config.json +20 -674
config.json
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"model_type": "qwen3_5_moe",
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@@ -763,7 +92,7 @@
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"partial_rotary_factor": 0.25,
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@@ -775,6 +104,23 @@
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|
| 12 |
"text_config": {
|
| 13 |
"attention_bias": false,
|
| 14 |
"attention_dropout": 0.0,
|
|
|
|
| 92 |
],
|
| 93 |
"partial_rotary_factor": 0.25,
|
| 94 |
"rope_theta": 10000000,
|
| 95 |
+
"rope_type": "default"
|
| 96 |
},
|
| 97 |
"router_aux_loss_coef": 0.0,
|
| 98 |
"shared_expert_intermediate_size": 512,
|
|
|
|
| 104 |
"transformers_version": "5.8.1",
|
| 105 |
"use_cache": false,
|
| 106 |
"video_token_id": 248057,
|
| 107 |
+
"vision_config": {
|
| 108 |
+
"deepstack_visual_indexes": [],
|
| 109 |
+
"depth": 27,
|
| 110 |
+
"dtype": "bfloat16",
|
| 111 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 112 |
+
"hidden_size": 1152,
|
| 113 |
+
"in_channels": 3,
|
| 114 |
+
"initializer_range": 0.02,
|
| 115 |
+
"intermediate_size": 4304,
|
| 116 |
+
"model_type": "qwen3_5_moe_vision",
|
| 117 |
+
"num_heads": 16,
|
| 118 |
+
"num_position_embeddings": 2304,
|
| 119 |
+
"out_hidden_size": 2048,
|
| 120 |
+
"patch_size": 16,
|
| 121 |
+
"spatial_merge_size": 2,
|
| 122 |
+
"temporal_patch_size": 2
|
| 123 |
+
},
|
| 124 |
"vision_end_token_id": 248054,
|
| 125 |
"vision_start_token_id": 248053
|
| 126 |
+
}
|