Text Classification
Transformers
Safetensors
English
Korean
Japanese
qev_decision_merged
feature-extraction
qev
dlp
typed-decision
japanese
bf16
custom_code
Instructions to use querypieai/QEV2.1-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use querypieai/QEV2.1-12B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="querypieai/QEV2.1-12B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("querypieai/QEV2.1-12B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 393 Bytes
6438a35 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"recipe": "bitsandbytes LLM.int8",
"load_in_8bit": true,
"llm_int8_threshold": 6.0,
"llm_int8_has_fp16_weight": false,
"llm_int8_skip_modules": ["lm_head"],
"floating_compute_dtype": "bfloat16",
"pointer_head_dtype": "float32",
"adapter_merged": false,
"serialization": "safetensors",
"max_shard_size": "4GB",
"device": "single CUDA GPU",
"automatic_upload": false
}
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