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 tokenizer_config.json with huggingface_hub
Browse files- tokenizer_config.json +0 -31
tokenizer_config.json
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{
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"add_prefix_space": false,
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"audio_bos_token": "<|audio_start|>",
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"audio_eos_token": "<|audio_end|>",
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"audio_token": "<|audio_pad|>",
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"image_token": "<|image_pad|>",
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"is_local": false,
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"model_max_length": 262144,
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"model_specific_special_tokens": {
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"audio_bos_token": "<|audio_start|>",
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"audio_eos_token": "<|audio_end|>",
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"audio_token": "<|audio_pad|>",
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"image_token": "<|image_pad|>",
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"video_token": "<|video_pad|>",
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"vision_bos_token": "<|vision_start|>",
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"vision_eos_token": "<|vision_end|>"
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},
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"pad_token": "<|endoftext|>",
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"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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"split_special_tokens": false,
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"tokenizer_class": "TokenizersBackend",
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"unk_token": null,
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"video_token": "<|video_pad|>",
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"vision_bos_token": "<|vision_start|>",
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"vision_eos_token": "<|vision_end|>"
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}
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