Instructions to use DeepBeepMeep/Ideogram4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use DeepBeepMeep/Ideogram4 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Share encoder-only BF16 and validated INT8 ConvRot weights; replace Quanto variants
Browse files
Qwen3-VL-8B-Instruct/ENCODER_VARIANTS.md
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# Shared Qwen3-VL-8B-Instruct encoder variants
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BF16 and INT8 ConvRot variants accompany the existing FP8 and NF4 files. All use the encoder-only Qwen3VLModel layout: `language_model.*` and `visual.*`, without the unused `lm_head`.
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The BF16 encoder was repacked from Qwen/Qwen-Image-2.1 revision b3179ad355be050328e483a9dfdd9e60cd62adfa. All 749 retained tensors were verified bit-for-bit against that source. Against the existing FP8/NF4 encoders, all 381 unquantized tensors match exactly; sampled values from all 368 quantized tensors show quantization-scale differences. The RoPE/config differences are schema changes, not different model dimensions.
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INT8 ConvRot was generated with WanGP's shared converter through a headless load-only queue. 360 repeated-block linear weights are quantized, and remaining tensors retain BF16. WanGP Qwen Image 2.1 generation and reference editing were validated with these files. Existing Ideogram FP8/NF4 defaults are unchanged. Source weights remain subject to their upstream license; see https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE.
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Qwen3-VL-8B-Instruct/Qwen3-VL-8B-Instruct_bf16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d0d0b9aa0ef42627800c6d3f25ed8fe82c9dd909f6c3a6cd21609cdc6756f41
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size 16289676320
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Qwen3-VL-8B-Instruct/Qwen3-VL-8B-Instruct_int8_convrot.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:36e5886b28d08dda11cab85223ea38b475e3e027795ec2c783914ff86f838096
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size 8939652364
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