NLLB-200 Distilled 600M — FP32 Full Precision Baseline
🌐 Live Web Demo: Try 100% offline in your browser at
huggingface.co/spaces/rudrakshrakeshzodage/nllb-200-onnx-browser-demo
This model is part of a suite of optimized/quantized versions of the base model. Other variants in this direction:
- FP32 (Full Precision / Base):
rudrakshrakeshzodage/nllb-200-distilled-600M-fp32(Current)- FP16 (Half Precision):
rudrakshrakeshzodage/nllb-200-distilled-600M-fp16- INT8 (Dynamic Quantization - CPU):
rudrakshrakeshzodage/nllb-200-distilled-600M-int8-cpu- NF4 (4-bit GPU Quantization):
rudrakshrakeshzodage/nllb-200-distilled-600M-nf4-4bit-gpu
Base model: facebook/nllb-200-distilled-600M
Precision: FP32 (32-bit Float Baseline)
Languages: 200 (all NLLB-200 supported languages)
💾 Model Size Reduction Comparison (FP32 vs FP16 vs INT8 vs NF4)
📈 200+ Language Performance Benchmark Chart
📜 Citation & Credits
Quantization research and benchmarking by RudrakshRakeshZodage.
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Model tree for rudrakshrakeshzodage/nllb-200-distilled-600M-fp32
Base model
facebook/nllb-200-distilled-600M