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URL: https://huggingface.co/p1atdev/CogView4-6B-quanto_int8

โ‡ฑ p1atdev/CogView4-6B-quanto_int8 ยท Hugging Face


Quantization settings

  • vae.: torch.bfloat16. No quantization.
  • text_encoder.layers.:
    • Int8 with Optimum Quanto
    • Target layers:["q_proj", "k_proj", "v_proj", "o_proj", "mlp.down_proj", "mlp.gate_up_proj"]
  • diffusion_model.:
    • Int8 with Optimum Quanto
    • Target layers: ["to_q", "to_k", "to_v", "to_out.0", "ff.net.0.proj", "ff.net.2"]

VRAM cosumption

  • Text encoder (text_encoder.): about 11 GB
  • Denoiser (diffusion_model.): about 10 GB

Samples

torch.bfloat16 Quanto Int8
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๐Ÿ‘ Image
VRAM 40GB (without offloading) VRAM 28GB (without offloading)
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zai-org/glm-4-9b
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