Text Generation
Safetensors
English
qwen3.5
code
tool-calling
lora
sft
dpo
unsloth
reasoning
chain-of-thought
conversational
Instructions to use danielcherubini/Qwen3.5-DeltaCoder-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use danielcherubini/Qwen3.5-DeltaCoder-9B with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for danielcherubini/Qwen3.5-DeltaCoder-9B to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for danielcherubini/Qwen3.5-DeltaCoder-9B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for danielcherubini/Qwen3.5-DeltaCoder-9B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="danielcherubini/Qwen3.5-DeltaCoder-9B", max_seq_length=2048, )
Delete processor_config.json with huggingface_hub
Browse files- processor_config.json +0 -63
processor_config.json
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{
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"image_processor": {
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"data_format": "channels_first",
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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"image_processor_type": "Qwen2VLImageProcessorFast",
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"image_std": [
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"merge_size": 2,
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"patch_size": 16,
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 16777216,
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"shortest_edge": 65536
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},
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"temporal_patch_size": 2
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},
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"processor_class": "Qwen3VLProcessor",
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"video_processor": {
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"data_format": "channels_first",
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"default_to_square": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"do_sample_frames": true,
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"fps": 2,
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"image_mean": [
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"max_frames": 768,
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"merge_size": 2,
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"min_frames": 4,
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"patch_size": 16,
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"return_metadata": false,
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"size": {
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"longest_edge": 25165824,
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"shortest_edge": 4096
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"temporal_patch_size": 2,
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"video_processor_type": "Qwen3VLVideoProcessor"
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}
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}
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