Feature Extraction
Transformers
Safetensors
English
qwen3
text-generation
nvfp4
fp4
llm-compressor
compressed-tensors
embeddings
matryoshka
vllm
Eval Results (legacy)
text-embeddings-inference
8-bit precision
Instructions to use ironbcc/Qwen3-Embedding-4B-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ironbcc/Qwen3-Embedding-4B-NVFP4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ironbcc/Qwen3-Embedding-4B-NVFP4")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ironbcc/Qwen3-Embedding-4B-NVFP4") model = AutoModelForCausalLM.from_pretrained("ironbcc/Qwen3-Embedding-4B-NVFP4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K