Shar137/two / BF16 /DFlash2-FP8 /config.json
Shar137's picture
download
raw
2.64 kB
{
"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_config": {
"activation_scheme": "dynamic",
"dequantize": false,
"fmt": "e4m3",
"quant_method": "fp8",
"scale_fmt": "float",
"weight_block_size": [
128,
128
],
"modules_to_not_convert": [
"q_proj",
"k_proj",
"v_proj",
"qkv_proj",
"fc",
"lm_head",
"layers.0.self_attn.q_proj",
"layers.0.self_attn.k_proj",
"layers.0.self_attn.v_proj",
"layers.0.attention_conv.kernel_projection",
"layers.0.mlp_conv.kernel_projection",
"layers.1.self_attn.q_proj",
"layers.1.self_attn.k_proj",
"layers.1.self_attn.v_proj",
"layers.1.attention_conv.kernel_projection",
"layers.1.mlp_conv.kernel_projection",
"layers.2.self_attn.q_proj",
"layers.2.self_attn.k_proj",
"layers.2.self_attn.v_proj",
"layers.2.attention_conv.kernel_projection",
"layers.2.mlp_conv.kernel_projection",
"layers.3.self_attn.q_proj",
"layers.3.self_attn.k_proj",
"layers.3.self_attn.v_proj",
"layers.3.attention_conv.kernel_projection",
"layers.3.mlp_conv.kernel_projection",
"layers.4.self_attn.q_proj",
"layers.4.self_attn.k_proj",
"layers.4.self_attn.v_proj",
"layers.4.attention_conv.kernel_projection",
"layers.4.mlp_conv.kernel_projection",
"candidate_selector.hidden_projection"
]
}
}

Xet Storage Details

Size:
2.64 kB
·
Xet hash:
d901f4863d0a0ac1f496d91428458d1475782f636b1a6653b21ac8accbb53cd6

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.