Instructions to use SceneWorks/ltx-2.3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/ltx-2.3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.3-mlx SceneWorks/ltx-2.3-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- gemma/README.md +26 -0
- gemma/added_tokens.json +3 -0
- gemma/chat_template.json +3 -0
- gemma/generation_config.json +11 -0
- gemma/model-00001-of-00005.safetensors +3 -0
- gemma/model-00002-of-00005.safetensors +3 -0
- gemma/model-00003-of-00005.safetensors +3 -0
- gemma/model-00004-of-00005.safetensors +3 -0
- gemma/model-00005-of-00005.safetensors +3 -0
- gemma/model.safetensors.index.json +0 -0
- gemma/preprocessor_config.json +29 -0
- gemma/processor_config.json +4 -0
- gemma/special_tokens_map.json +33 -0
- gemma/tokenizer.json +3 -0
- gemma/tokenizer.model +3 -0
- gemma/tokenizer_config.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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gemma/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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gemma/README.md
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---
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license: gemma
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library_name: transformers
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pipeline_tag: image-text-to-text
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extra_gated_heading: Access Gemma on Hugging Face
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extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
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agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
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Face and click below. Requests are processed immediately.
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extra_gated_button_content: Acknowledge license
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base_model: google/gemma-3-12b-pt
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tags:
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- mlx
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---
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# mlx-community/gemma-3-12b-it-bf16
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This model was converted to MLX format from [`google/gemma-3-12b-it`]() using mlx-vlm version **0.1.18**.
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Refer to the [original model card](https://huggingface.co/google/gemma-3-12b-it) for more details on the model.
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## Use with mlx
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```bash
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pip install -U mlx-vlm
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```
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```bash
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python -m mlx_vlm.generate --model mlx-community/gemma-3-12b-it-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
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```
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gemma/added_tokens.json
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{
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"<image_soft_token>": 262144
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}
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gemma/chat_template.json
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{
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"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n"
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}
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gemma/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"eos_token_id": [
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1,
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],
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"pad_token_id": 0,
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"transformers_version": "4.50.0.dev0"
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}
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gemma/model-00002-of-00005.safetensors
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gemma/model.safetensors.index.json
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gemma/preprocessor_config.json
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{
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"do_convert_rgb": null,
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"do_normalize": true,
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"do_pan_and_scan": null,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "Gemma3ImageProcessor",
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"image_seq_length": 256,
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"pan_and_scan_max_num_crops": null,
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"pan_and_scan_min_crop_size": null,
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"pan_and_scan_min_ratio_to_activate": null,
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"processor_class": "Gemma3Processor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 896,
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"width": 896
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}
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}
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{
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"image_seq_length": 256,
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"processor_class": "Gemma3Processor"
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}
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gemma/special_tokens_map.json
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{
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"boi_token": "<start_of_image>",
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"bos_token": {
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"content": "<bos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eoi_token": "<end_of_image>",
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"eos_token": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"image_token": "<image_soft_token>",
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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gemma/tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size 33384568
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gemma/tokenizer.model
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size 4689074
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gemma/tokenizer_config.json
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