Instructions to use KaedeTai/dflash2-mlx-quantized-draft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use KaedeTai/dflash2-mlx-quantized-draft with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir dflash2-mlx-quantized-draft KaedeTai/dflash2-mlx-quantized-draft
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 1,274 Bytes
78c877d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | {
"architectures": [
"DFlash2DraftModel"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": null,
"is_causal": false,
"dflash_config": {
"block_size": 8,
"conv_group_size": 16,
"conv_kernel_size": 2,
"mask_token_id": 248070,
"selector_rank": 256,
"selector_top_k": 16,
"target_layer_ids": [
5,
19,
33,
47,
61
]
},
"dtype": "bfloat16",
"eos_token_id": 248044,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 5120,
"initializer_range": 0.02,
"intermediate_size": 17408,
"layer_types": [
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention"
],
"max_position_embeddings": 262144,
"max_window_layers": 5,
"model_type": "qwen3",
"num_attention_heads": 32,
"num_hidden_layers": 5,
"num_key_value_heads": 8,
"num_target_layers": 64,
"pad_token_id": 248044,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 10000000,
"rope_type": "default"
},
"sliding_window": 2048,
"tie_word_embeddings": false,
"transformers_version": "5.15.0",
"use_cache": true,
"use_sliding_window": true,
"vocab_size": 248320,
"quantization": {
"group_size": 64,
"bits": 4
},
"quantization_config": {
"group_size": 64,
"bits": 4
}
} |