MLX
Safetensors
qwen3
dflash2
draft-only
speculative-decoding
block-diffusion
draft-model
qwen3.8-27b-target
Instructions to use RESMP-DEV/DFlash2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RESMP-DEV/DFlash2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download RESMP-DEV/DFlash2 --local-dir DFlash2
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 1,239 Bytes
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"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
}
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