Instructions to use usermma/NEXUS-Coder-Abliterated-mlx-6Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use usermma/NEXUS-Coder-Abliterated-mlx-6Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir NEXUS-Coder-Abliterated-mlx-6Bit usermma/NEXUS-Coder-Abliterated-mlx-6Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 1,849 Bytes
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"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": null,
"dtype": "float16",
"eos_token_id": [
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],
"hidden_act": "silu",
"hidden_size": 1536,
"initializer_range": 0.02,
"intermediate_size": 8960,
"layer_types": [
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],
"max_position_embeddings": 32768,
"max_window_layers": 21,
"model_type": "qwen2",
"num_attention_heads": 12,
"num_hidden_layers": 28,
"num_key_value_heads": 2,
"pad_token_id": 151665,
"quantization": {
"group_size": 64,
"bits": 6,
"mode": "affine"
},
"quantization_config": {
"group_size": 64,
"bits": 6,
"mode": "affine"
},
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "5.3.0",
"unsloth_fixed": true,
"unsloth_version": "2026.6.9",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
} |