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Ernie Image Turbo Mlx Q8

Int8 quantization (groupsize 64, attention and FFN Linear weights only, leaving the small projections and the VAE in bf16) of dgrauet/ernie-image-turbo-mlx, the MLX conversion of baidu/ERNIE-Image-Turbo.

Fuentehuggingface.co/dgrauet/ernie-image-turbo-mlx-q8/tree/0cf221141d1f356ab52938e4a16fb8aaca761f4f
TipoText modelModelo basebaidu/ERNIE-Image-TurboVersióntext_encoderPublicador@dgrauetCcalidad

Fuente del modelo

Tipo
Text model
Tamaño del archivo
3,39 GB
Modelo base
baidu/ERNIE-Image-Turbo
Versión
vtext_encoder
Actualizado
2 oct 2026
Publicador
@dgrauet
Descargas
0
Fuente
Hugging Face

Descripción de la fuente

dgrauet/ernie-image-turbo-mlx-q8

Int8 quantization (group_size 64, attention and FFN Linear weights only, leaving the small projections and the VAE in bf16) of dgrauet/ernie-image-turbo-mlx, the MLX conversion of baidu/ERNIE-Image-Turbo.

Quantized with mlx-forge (mlx-forge convert ernie-image --variant turbo --quantize --bits 8).

Usage

These weights can be used with ernie-image-mlx:

pip install ernie-image-mlx
ernie-image-mlx generate \
    -p "一只黑白相间的中华田园犬" \
    --repo-id dgrauet/ernie-image-turbo-mlx-q8 \
    -o dog.png

Keep quantize_config.json next to the weights (the loader also infers bits/group_size from the weight shapes if it is missing).

Related Projects

Files

  • model_index.json (547.00 B)
  • pe_tokenizer_tokenizer_config.json (20.63 KB)
  • quantize_config.json (107.00 B)
  • scheduler_scheduler_config.json (482.00 B)
  • special_tokens_map.json (414.00 B)
  • split_model.json (1.08 KB)
  • text_encoder.safetensors (3.39 GB)
  • text_encoder_config.json (1.64 KB)
  • tokenizer.json (8.83 MB)
  • tokenizer_tokenizer_config.json (379.00 B)
  • transformer.safetensors (8.11 GB)
  • transformer_config.json (422.00 B)
  • vae.safetensors (160.33 MB)
  • vae_config.json (836.00 B)

Fuentes

1 fuente
Hugging FacePrincipalVersión 0cf221141d1f356ab52938e4a16fb8aaca761f4f
huggingface.co/dgrauet/ernie-image-turbo-mlx-q8/tree/0cf221141d1f356ab52938e4a16fb8aaca761f4f

Verificado 2 oct

Artefactos del modelo

1 artefacto

text_encoder.safetensors

safetensors · 3,39 GB · SHA-256 15efee9b9182…12d5 · Hugging Face

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Extractos de fuentes

3 extractos
Readme2 octhuggingface.co/dgrauet/ernie-image-turbo-mlx-q8

--- library_name: mlx license: apache-2.0 base_model: baidu/ERNIE-Image-Turbo tags: - mlx - mlx-forge - apple-silicon - safetensors - quantized - int8 --- # dgrauet/ernie-image-turbo-mlx-q8 Int8 quantization (group_size 64, attention and FFN Linear weights only, leaving the small projections and the VAE in bf16) of [dgrauet/ernie-image-turbo-mlx](https://huggingface.co/dgrauet/ernie-image-turbo-mlx), the MLX conversion of [baidu/ERNIE-Image-Turbo](https://huggingface.co/baidu/ERNIE-Image-Turbo). Quantized with [mlx-forge](https://github.com/dgrauet/mlx-forge) (`mlx-forge convert ernie-image --variant turbo --quantize --bits 8`). ## Usage These weights can be used with [ernie-image-mlx](https://github.com/dgrauet/ernie-image-mlx): ```bash pip install ernie-image-mlx ernie-image-mlx generate \ -p "一只黑白相间的中华田园犬" \ --repo-id dgrauet/ernie-image-turbo-mlx-q8 \ -o dog.png ``` Keep `quantize_config.json` next to the weights (the loader also infers bits/group_size from the weight shapes if it is missing). ## Related Projects - **mlx-forge (conversion):** https://github.com/dgrauet/mlx-forge - **mlx-arsenal (reusable MLX ops):** https://github.com/dgrauet/mlx-arsenal - **mlx-porting (Claude Code skill):** https://github.com/dgrauet/claude-skill-mlx-porting - **bf16 variant:** https://huggingface.co/dgrauet/ernie-image-turbo-mlx - **q4 variant:** https://huggingface.co/dgrauet/ernie-image-turbo-mlx-q4 ## Files - `model_index.json` (547.00 B) - `pe_tokenizer_tokenizer_config.json` (20.63 KB) - `quantize_config.json` (107.00 B) - `scheduler_scheduler_config.json` (482.00 B) - `special_tokens_map.json` (414.00 B) - `split_model.json` (1.08 KB) - `text_encoder.safetensors` (3.39 GB) - `text_encoder_config.json` (1.64 KB) - `tokenizer.json` (8.83 MB) - `tokenizer_tokenizer_config.json` (379.00 B) - `transformer.safetensors` (8.11 GB) - `transformer_config.json` (422.00 B) - `vae.safetensors` (160.33 MB) - `vae_config.json` (836.00 B)

Readme11 julhuggingface.co/dgrauet/ernie-image-turbo-mlx-q8

--- library_name: mlx license: apache-2.0 base_model: baidu/ERNIE-Image-Turbo tags: - mlx - mlx-forge - apple-silicon - safetensors --- # dgrauet/ernie-image-turbo-mlx-q8 MLX format conversion of [baidu/ERNIE-Image-Turbo](https://huggingface.co/baidu/ERNIE-Image-Turbo). Converted with [mlx-forge](https://github.com/dgrauet/mlx-forge). - **Quantization:** int8 ## Usage These weights can be used with [ernie-image-mlx](https://github.com/dgrauet/ernie-image-mlx). ```bash pip install ernie-image-mlx ernie-image-mlx generate \ -p "一只黑白相间的中华田园犬" \ --repo-id dgrauet/ernie-image-turbo-mlx-q8 \ -o dog.png ``` ## Related Projects - **mlx-forge (conversion):** https://github.com/dgrauet/mlx-forge - **mlx-arsenal (reusable MLX ops):** https://github.com/dgrauet/mlx-arsenal - **mlx-porting (Claude Code skill):** https://github.com/dgrauet/claude-skill-mlx-porting ## Files - `model_index.json` (547.00 B) - `pe_tokenizer_tokenizer_config.json` (20.63 KB) - `quantize_config.json` (107.00 B) - `scheduler_scheduler_config.json` (482.00 B) - `special_tokens_map.json` (414.00 B) - `split_model.json` (203.00 B) - `text_encoder.safetensors` (3.39 GB) - `text_encoder_config.json` (1.64 KB) - `tokenizer.json` (8.83 MB) - `tokenizer_tokenizer_config.json` (379.00 B) - `transformer.safetensors` (8.11 GB) - `transformer_config.json` (422.00 B) - `vae.safetensors` (160.33 MB) - `vae_config.json` (836.00 B)

Note11 julhuggingface.co/dgrauet/ernie-image-turbo-mlx-q8

Source context: 0 downloads · 1 likes · Library mlx · Repo dgrauet/ernie-image-turbo-mlx-q8