MLX
Safetensors
English
qwen2
obliteratus
abliteration
uncensored
obliterate
mlx-my-repo
4-bit precision
Instructions to use usermma/NEXUS-Coder-Abliterated-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use usermma/NEXUS-Coder-Abliterated-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir NEXUS-Coder-Abliterated-mlx-4Bit usermma/NEXUS-Coder-Abliterated-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 572 Bytes
092648e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"is_local": true,
"max_length": 64,
"model_max_length": 32768,
"pad_to_multiple_of": null,
"pad_token": "<|PAD_TOKEN|>",
"pad_token_type_id": 0,
"padding_side": "left",
"split_special_tokens": false,
"stride": 0,
"tokenizer_class": "Qwen2Tokenizer",
"tool_parser_type": "json_tools",
"truncation_side": "right",
"truncation_strategy": "longest_first",
"unk_token": null
}
|