Image-Text-to-Text
MLX
Safetensors
qwen3_5
mtplx
qwen3_8
quantized
mxfp4
vision
mtp
speculative-decoding
abliterated
conversational
4-bit precision
Instructions to use Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx 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("Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx") config = load_config("Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx") # 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 Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx"
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": "Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx 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 "Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx"
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 Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx"
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 "Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx" \ --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"
Download config.json from Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx: direct link, hf CLI and curl.
- Browser
- Download file 31.9 kB
-
https://huggingface.co/Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx/resolve/main/config.json
- Command line
-
hf download hf://Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx/config.json
-
curl -L -o config.json https://huggingface.co/Shiftedx/qwopus3.8-27b-flash-abliterated-mxfp4-vision-mtplx/resolve/main/config.json
31.9 kB
| { | |
| "architectures": [ | |
| "Qwen3_5ForConditionalGeneration" | |
| ], | |
| "torch_dtype": "bfloat16", | |
| "image_token_id": 248056, | |
| "language_model_only": false, | |
| "model_name": "/workspace/renji-training/Jackrong/Qwen3.8-27B", | |
| "model_type": "qwen3_5", | |
| "pad_token_id": 248044, | |
| "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": 5120, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 17408, | |
| "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_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, | |
| "linear_key_head_dim": 128, | |
| "linear_num_key_heads": 16, | |
| "linear_num_value_heads": 48, | |
| "linear_value_head_dim": 128, | |
| "mamba_ssm_dtype": "float32", | |
| "max_position_embeddings": 262144, | |
| "model_type": "qwen3_5_text", | |
| "mtp_num_hidden_layers": 1, | |
| "mtp_use_dedicated_embeddings": false, | |
| "num_attention_heads": 24, | |
| "num_hidden_layers": 64, | |
| "num_key_value_heads": 4, | |
| "output_gate_type": "swish", | |
| "pad_token_id": null, | |
| "partial_rotary_factor": 0.25, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "mrope_interleaved": true, | |
| "mrope_section": [ | |
| 11, | |
| 11, | |
| 10 | |
| ], | |
| "partial_rotary_factor": 0.25, | |
| "rope_theta": 10000000, | |
| "type": "default" | |
| }, | |
| "tie_word_embeddings": false, | |
| "use_cache": false, | |
| "vocab_size": 248320, | |
| "num_nextn_predict_layers": 1 | |
| }, | |
| "tie_word_embeddings": false, | |
| "unsloth_version": "2026.8.19", | |
| "video_token_id": 248057, | |
| "vision_end_token_id": 248054, | |
| "vision_start_token_id": 248053, | |
| "publisher": "Jackrong", | |
| "mtp_num_hidden_layers": 1, | |
| "num_nextn_predict_layers": 1, | |
| "quantization": { | |
| "group_size": 32, | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| "quantization_config": { | |
| "group_size": 32, | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| "abliteration": { | |
| "method": "residual_direction_weight_orthogonalization", | |
| "direction_sha256": "c5b755d709dba8fedc0c2717f2c971b690f30bd8a2f6c9497ed9a6104f7f255d", | |
| "strength": 2.0, | |
| "targets": "attention,dense_down", | |
| "layers": "", | |
| "direction_scope": "global", | |
| "preserve_column_norm": true, | |
| "expected_edited_modules": 128, | |
| "edited_modules": [ | |
| { | |
| "name": "language_model.model.layers.63.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 63, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.63.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 63, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.62.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 62, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.62.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 62, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.61.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 61, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.61.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 61, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.60.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 60, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.60.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 60, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.59.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 59, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.59.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 59, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.58.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 58, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.58.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 58, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.57.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 57, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.57.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 57, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.56.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 56, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.56.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 56, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.55.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 55, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.55.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 55, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.54.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 54, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.54.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 54, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.53.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 53, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.53.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 53, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.52.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 52, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.52.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 52, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.51.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 51, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.51.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 51, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.50.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 50, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.50.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 50, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.49.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 49, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.49.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 49, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.48.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 48, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.48.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 48, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.47.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 47, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.47.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 47, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.46.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 46, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.46.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 46, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.45.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 45, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.45.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 45, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.44.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 44, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.44.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 44, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.43.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 43, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.43.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 43, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.42.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 42, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.42.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 42, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.41.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 41, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.41.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 41, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.40.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 40, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.40.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 40, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.39.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 39, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.39.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 39, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.38.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 38, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.38.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 38, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.37.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 37, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.37.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 37, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.36.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 36, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.36.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 36, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.35.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 35, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.35.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 35, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.34.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 34, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.34.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 34, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.33.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 33, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.33.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 33, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.32.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 32, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.32.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 32, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.31.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 31, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.31.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 31, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.30.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 30, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.30.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 30, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.29.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 29, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.29.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 29, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.28.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 28, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.28.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 28, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.27.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 27, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.27.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 27, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.26.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 26, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.26.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 26, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.25.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 25, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.25.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 25, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.24.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 24, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.24.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 24, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.23.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 23, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.23.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 23, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.22.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 22, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.22.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 22, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.21.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 21, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.21.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 21, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.20.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 20, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.20.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 20, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.19.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 19, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.19.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 19, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.18.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 18, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.18.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 18, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.17.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 17, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.17.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 17, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.16.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 16, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.16.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 16, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.15.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 15, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.15.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 15, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.14.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 14, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.14.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 14, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.13.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 13, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.13.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 13, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.12.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 12, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.12.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 12, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.11.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 11, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.11.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 11, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.10.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 10, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.10.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 10, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.9.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 9, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.9.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 9, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.8.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 8, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.8.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 8, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.7.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 7, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.7.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 7, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.6.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 6, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.6.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 6, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.5.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 5, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.5.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 5, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.4.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 4, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.4.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 4, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.3.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 3, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.3.self_attn.o_proj", | |
| "kind": "attention", | |
| "layer": 3, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.2.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 2, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.2.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 2, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.1.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 1, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.1.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 1, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.0.mlp.down_proj", | |
| "kind": "dense_down", | |
| "layer": 0, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| }, | |
| { | |
| "name": "language_model.model.layers.0.linear_attn.out_proj", | |
| "kind": "attention", | |
| "layer": 0, | |
| "axis": "output", | |
| "bits": 4, | |
| "mode": "mxfp4" | |
| } | |
| ], | |
| "direction_sha256": "c5b755d709dba8fedc0c2717f2c971b690f30bd8a2f6c9497ed9a6104f7f255d", | |
| "source_hashes": { | |
| "config.json": "6c91482b676adf0e8aef3b800eea1fa0885af520bedcdda907ae7f597506c238", | |
| "tokenizer_config.json": "5cb0f2a200c062c88fa61cd53f9df70ae3dd81c3a8cdcf1b741ef8eee3dbb478", | |
| "chat_template.jinja": "f2e03cfdf930fb26e7c88ca83abc3a0c1e7c5b1fe68ee43ba81d0c47c8460ceb", | |
| "model.safetensors.index.json": "de53c849821274bcdb2914404fdebdf6f756851f7004197ad3657bd5a3bd3d8a" | |
| }, | |
| "script_sha256": "d0ea40d8192808f24c256815cad476b7e0dd359422ad4dfdfb19933d0add1f1a", | |
| "quant_native_edit": true, | |
| "quant_native_edit_note": "Each selected module was dequantized, edited in float32, and requantized once to its original MLX mode. Compare this artifact with its exact quantized parent; float-first edit then fresh quantization is preferred when host memory permits." | |
| }, | |
| "vision_config": { | |
| "deepstack_visual_indexes": [], | |
| "depth": 27, | |
| "torch_dtype": "bfloat16", | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 1152, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4304, | |
| "model_type": "qwen3_5", | |
| "num_heads": 16, | |
| "num_position_embeddings": 2304, | |
| "out_hidden_size": 5120, | |
| "patch_size": 16, | |
| "spatial_merge_size": 2, | |
| "temporal_patch_size": 2 | |
| }, | |
| "mlx_lm_extra_tensors": { | |
| "mtp_file": "mtp/weights.safetensors", | |
| "mtp_tensor_count": 15 | |
| }, | |
| "mtplx_wrapper": { | |
| "artifact_name": "Qwopus3.8-27B-Flash-Abliterated-MXFP4-Vision-MTPLX", | |
| "source_model": "Jackrong/Qwopus3.8-27B-Flash", | |
| "source_revision": "44d24e8cb20ceb3cdf4fe200b5a0afd970ee748a", | |
| "body_quantization": "mxfp4", | |
| "runtime": "mtplx", | |
| "mtplx_version": "2.11.1", | |
| "native_mtp": true, | |
| "validation_status": "verified" | |
| } | |
| } | |