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Swicked86
/
phi4-mm-gptq

Visual Question Answering
Transformers
Safetensors
English
phi4mm
text-generation
phi4
gptq
quantized
compressed-tensors
vision-language
audio
multimodal
vllm
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Swicked86/phi4-mm-gptq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Swicked86/phi4-mm-gptq with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="Swicked86/phi4-mm-gptq", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("Swicked86/phi4-mm-gptq", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
phi4-mm-gptq / speech-lora
942 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Swicked86's picture
Swicked86
Add W4A16 GPTQ quantization with speech/vision LoRA adapters
7434286 verified 5 months ago
  • adapter_config.json
    465 Bytes
    Add W4A16 GPTQ quantization with speech/vision LoRA adapters 5 months ago
  • adapter_model.safetensors
    923 MB
    xet
    Add W4A16 GPTQ quantization with speech/vision LoRA adapters 5 months ago
  • added_tokens.json
    249 Bytes
    Add W4A16 GPTQ quantization with speech/vision LoRA adapters 5 months ago
  • special_tokens_map.json
    473 Bytes
    Add W4A16 GPTQ quantization with speech/vision LoRA adapters 5 months ago
  • tokenizer.json
    15.5 MB
    xet
    Add W4A16 GPTQ quantization with speech/vision LoRA adapters 5 months ago
  • tokenizer_config.json
    3.25 kB
    Add W4A16 GPTQ quantization with speech/vision LoRA adapters 5 months ago
  • vocab.json
    3.91 MB
    Add W4A16 GPTQ quantization with speech/vision LoRA adapters 5 months ago