Text Classification
Transformers
Safetensors
English
qwen3_5_moe
image-text-to-text
system-one
typed-decisions
decision-model
calibrated-probabilities
jev
noul
choice
score
lora
mixture-of-experts
vllm
nvfp4
modelopt
fp4
Eval Results (legacy)
8-bit precision
Instructions to use autotrust/AutoTrust-Decider-Pro-35B-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autotrust/AutoTrust-Decider-Pro-35B-NVFP4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autotrust/AutoTrust-Decider-Pro-35B-NVFP4")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("autotrust/AutoTrust-Decider-Pro-35B-NVFP4") model = AutoModelForMultimodalLM.from_pretrained("autotrust/AutoTrust-Decider-Pro-35B-NVFP4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download hf_quant_config.json from autotrust/AutoTrust-Decider-Pro-35B-NVFP4: direct link, hf CLI and curl.
- Browser
- Download file 8.71 kB
-
https://huggingface.co/autotrust/AutoTrust-Decider-Pro-35B-NVFP4/resolve/main/hf_quant_config.json
- Command line
-
hf download hf://autotrust/AutoTrust-Decider-Pro-35B-NVFP4/hf_quant_config.json
-
curl -L -o hf_quant_config.json https://huggingface.co/autotrust/AutoTrust-Decider-Pro-35B-NVFP4/resolve/main/hf_quant_config.json
8.71 kB
| { | |
| "producer": { | |
| "name": "jev-judge scripts/export_nvfp4_experts.py" | |
| }, | |
| "quantization": { | |
| "quant_algo": "NVFP4", | |
| "kv_cache_quant_algo": null, | |
| "group_size": 16, | |
| "exclude_modules": [ | |
| "lm_head", | |
| "model.visual*", | |
| "mtp*", | |
| "model.language_model.layers.0.self_attn*", | |
| "model.language_model.layers.0.linear_attn*", | |
| "model.language_model.layers.0.mlp.gate", | |
| "model.language_model.layers.0.mlp.shared_expert*", | |
| "model.language_model.layers.1.self_attn*", | |
| "model.language_model.layers.1.linear_attn*", | |
| "model.language_model.layers.1.mlp.gate", | |
| "model.language_model.layers.1.mlp.shared_expert*", | |
| "model.language_model.layers.2.self_attn*", | |
| "model.language_model.layers.2.linear_attn*", | |
| "model.language_model.layers.2.mlp.gate", | |
| "model.language_model.layers.2.mlp.shared_expert*", | |
| "model.language_model.layers.3.self_attn*", | |
| "model.language_model.layers.3.linear_attn*", | |
| "model.language_model.layers.3.mlp.gate", | |
| "model.language_model.layers.3.mlp.shared_expert*", | |
| "model.language_model.layers.4.self_attn*", | |
| "model.language_model.layers.4.linear_attn*", | |
| "model.language_model.layers.4.mlp.gate", | |
| "model.language_model.layers.4.mlp.shared_expert*", | |
| "model.language_model.layers.5.self_attn*", | |
| "model.language_model.layers.5.linear_attn*", | |
| "model.language_model.layers.5.mlp.gate", | |
| "model.language_model.layers.5.mlp.shared_expert*", | |
| "model.language_model.layers.6.self_attn*", | |
| "model.language_model.layers.6.linear_attn*", | |
| "model.language_model.layers.6.mlp.gate", | |
| "model.language_model.layers.6.mlp.shared_expert*", | |
| "model.language_model.layers.7.self_attn*", | |
| "model.language_model.layers.7.linear_attn*", | |
| "model.language_model.layers.7.mlp.gate", | |
| "model.language_model.layers.7.mlp.shared_expert*", | |
| "model.language_model.layers.8.self_attn*", | |
| "model.language_model.layers.8.linear_attn*", | |
| "model.language_model.layers.8.mlp.gate", | |
| "model.language_model.layers.8.mlp.shared_expert*", | |
| "model.language_model.layers.9.self_attn*", | |
| "model.language_model.layers.9.linear_attn*", | |
| "model.language_model.layers.9.mlp.gate", | |
| "model.language_model.layers.9.mlp.shared_expert*", | |
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| "model.language_model.layers.13.mlp.gate", | |
| "model.language_model.layers.13.mlp.shared_expert*", | |
| "model.language_model.layers.14.self_attn*", | |
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| "model.language_model.layers.14.mlp.gate", | |
| "model.language_model.layers.14.mlp.shared_expert*", | |
| "model.language_model.layers.15.self_attn*", | |
| "model.language_model.layers.15.linear_attn*", | |
| "model.language_model.layers.15.mlp.gate", | |
| "model.language_model.layers.15.mlp.shared_expert*", | |
| "model.language_model.layers.16.self_attn*", | |
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| "model.language_model.layers.16.mlp.gate", | |
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| "model.language_model.layers.17.linear_attn*", | |
| "model.language_model.layers.17.mlp.gate", | |
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| "model.language_model.layers.18.mlp.gate", | |
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| "model.language_model.layers.19.self_attn*", | |
| "model.language_model.layers.19.linear_attn*", | |
| "model.language_model.layers.19.mlp.gate", | |
| "model.language_model.layers.19.mlp.shared_expert*", | |
| "model.language_model.layers.20.self_attn*", | |
| "model.language_model.layers.20.linear_attn*", | |
| "model.language_model.layers.20.mlp.gate", | |
| "model.language_model.layers.20.mlp.shared_expert*", | |
| "model.language_model.layers.21.self_attn*", | |
| "model.language_model.layers.21.linear_attn*", | |
| "model.language_model.layers.21.mlp.gate", | |
| "model.language_model.layers.21.mlp.shared_expert*", | |
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| "model.language_model.layers.39.mlp.gate", | |
| "model.language_model.layers.39.mlp.shared_expert*" | |
| ] | |
| } | |
| } |