Text Generation
Transformers
Safetensors
English
Chinese
qwen3_5_text
veriloop
veriloop-coder
code
coding-agent
software-engineering
mathematical-reasoning
nvfp4
modelopt
tensorrt-llm
vllm
sglang
code-optimized
quantization
open-source
apache-2.0
qwen3_5
self-harness
harness-engineering
surface-host-adapter
evidence-binding
rollback
uncertainty-calibration
long-context
vertical-code-model
recursive-improvement
conversational
Upload config.json with huggingface_hub
Browse files- config.json +432 -287
config.json
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}
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| 1 |
{
|
| 2 |
+
"architectures": [
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+
"Qwen3_5ForCausalLM"
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| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
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| 6 |
+
"attention_dropout": 0.0,
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| 7 |
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"attn_output_gate": true,
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| 8 |
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"bos_token_id": 248044,
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| 9 |
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"dtype": "bfloat16",
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| 10 |
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"eos_token_id": 248044,
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| 11 |
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"full_attention_interval": 4,
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| 12 |
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"head_dim": 256,
|
| 13 |
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"hidden_act": "silu",
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| 14 |
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"hidden_size": 5120,
|
| 15 |
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"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 17408,
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| 17 |
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"layer_types": [
|
| 18 |
+
"linear_attention",
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+
"linear_attention",
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+
"linear_attention",
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| 21 |
+
"full_attention",
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+
"linear_attention",
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| 23 |
+
"linear_attention",
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| 24 |
+
"linear_attention",
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| 25 |
+
"full_attention",
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"linear_attention",
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"linear_attention",
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| 28 |
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"linear_attention",
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| 29 |
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"full_attention",
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| 30 |
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"linear_attention",
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| 31 |
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"linear_attention",
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| 32 |
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"linear_attention",
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| 33 |
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"full_attention",
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| 34 |
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"linear_attention",
|
| 35 |
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"linear_attention",
|
| 36 |
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"linear_attention",
|
| 37 |
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"full_attention",
|
| 38 |
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"linear_attention",
|
| 39 |
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"linear_attention",
|
| 40 |
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"linear_attention",
|
| 41 |
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"full_attention",
|
| 42 |
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"linear_attention",
|
| 43 |
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"linear_attention",
|
| 44 |
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"linear_attention",
|
| 45 |
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"full_attention",
|
| 46 |
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"linear_attention",
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| 47 |
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"linear_attention",
|
| 48 |
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"linear_attention",
|
| 49 |
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"full_attention",
|
| 50 |
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"linear_attention",
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| 51 |
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"linear_attention",
|
| 52 |
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"linear_attention",
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| 53 |
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"full_attention",
|
| 54 |
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"linear_attention",
|
| 55 |
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"linear_attention",
|
| 56 |
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"linear_attention",
|
| 57 |
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"full_attention",
|
| 58 |
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"linear_attention",
|
| 59 |
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"linear_attention",
|
| 60 |
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"linear_attention",
|
| 61 |
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"full_attention",
|
| 62 |
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"linear_attention",
|
| 63 |
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"linear_attention",
|
| 64 |
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"linear_attention",
|
| 65 |
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"full_attention",
|
| 66 |
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"linear_attention",
|
| 67 |
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"linear_attention",
|
| 68 |
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"linear_attention",
|
| 69 |
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"full_attention",
|
| 70 |
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"linear_attention",
|
| 71 |
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"linear_attention",
|
| 72 |
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"linear_attention",
|
| 73 |
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"full_attention",
|
| 74 |
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"linear_attention",
|
| 75 |
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"linear_attention",
|
| 76 |
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"linear_attention",
|
| 77 |
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"full_attention",
|
| 78 |
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"linear_attention",
|
| 79 |
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"linear_attention",
|
| 80 |
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"linear_attention",
|
| 81 |
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"full_attention"
|
| 82 |
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],
|
| 83 |
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"linear_conv_kernel_dim": 4,
|
| 84 |
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"linear_key_head_dim": 128,
|
| 85 |
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"linear_num_key_heads": 16,
|
| 86 |
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"linear_num_value_heads": 48,
|
| 87 |
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"linear_value_head_dim": 128,
|
| 88 |
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"mamba_ssm_dtype": "float32",
|
| 89 |
+
"max_position_embeddings": 262144,
|
| 90 |
+
"model_type": "qwen3_5_text",
|
| 91 |
+
"mtp_num_hidden_layers": 1,
|
| 92 |
+
"mtp_use_dedicated_embeddings": false,
|
| 93 |
+
"num_attention_heads": 24,
|
| 94 |
+
"num_hidden_layers": 64,
|
| 95 |
+
"num_key_value_heads": 4,
|
| 96 |
+
"output_gate_type": "swish",
|
| 97 |
+
"pad_token_id": null,
|
| 98 |
+
"partial_rotary_factor": 0.25,
|
| 99 |
+
"rms_norm_eps": 1e-06,
|
| 100 |
+
"rope_parameters": {
|
| 101 |
+
"mrope_interleaved": true,
|
| 102 |
+
"mrope_section": [
|
| 103 |
+
11,
|
| 104 |
+
11,
|
| 105 |
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10
|
| 106 |
+
],
|
| 107 |
+
"partial_rotary_factor": 0.25,
|
| 108 |
+
"rope_theta": 10000000,
|
| 109 |
+
"rope_type": "default"
|
| 110 |
+
},
|
| 111 |
+
"tie_word_embeddings": false,
|
| 112 |
+
"transformers_version": "5.14.1",
|
| 113 |
+
"use_cache": false,
|
| 114 |
+
"vocab_size": 248320,
|
| 115 |
+
"quantization_config": {
|
| 116 |
+
"config_groups": {
|
| 117 |
+
"group_0": {
|
| 118 |
+
"input_activations": {
|
| 119 |
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"dynamic": false,
|
| 120 |
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"num_bits": 4,
|
| 121 |
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"type": "float",
|
| 122 |
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"group_size": 16
|
| 123 |
},
|
| 124 |
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"weights": {
|
| 125 |
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"dynamic": false,
|
| 126 |
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"num_bits": 4,
|
| 127 |
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"type": "float",
|
| 128 |
+
"group_size": 16
|
| 129 |
+
},
|
| 130 |
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"targets": [
|
| 131 |
+
"Linear"
|
| 132 |
+
]
|
| 133 |
+
}
|
| 134 |
+
},
|
| 135 |
+
"ignore": [
|
| 136 |
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"lm_head",
|
| 137 |
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"model.language_model.embed_tokens",
|
| 138 |
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"model.language_model.layers.0.linear_attn.conv1d",
|
| 139 |
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"model.language_model.layers.0.linear_attn.in_proj_a",
|
| 140 |
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"model.language_model.layers.0.linear_attn.in_proj_b",
|
| 141 |
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"model.language_model.layers.1.linear_attn.conv1d",
|
| 142 |
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"model.language_model.layers.1.linear_attn.in_proj_a",
|
| 143 |
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"model.language_model.layers.1.linear_attn.in_proj_b",
|
| 144 |
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"model.language_model.layers.10.linear_attn.conv1d",
|
| 145 |
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"model.language_model.layers.10.linear_attn.in_proj_a",
|
| 146 |
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"model.language_model.layers.10.linear_attn.in_proj_b",
|
| 147 |
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"model.language_model.layers.12.linear_attn.conv1d",
|
| 148 |
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"model.language_model.layers.12.linear_attn.in_proj_a",
|
| 149 |
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"model.language_model.layers.12.linear_attn.in_proj_b",
|
| 150 |
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"model.language_model.layers.13.linear_attn.conv1d",
|
| 151 |
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"model.language_model.layers.13.linear_attn.in_proj_a",
|
| 152 |
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"model.language_model.layers.13.linear_attn.in_proj_b",
|
| 153 |
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"model.language_model.layers.14.linear_attn.conv1d",
|
| 154 |
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"model.language_model.layers.14.linear_attn.in_proj_a",
|
| 155 |
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"model.language_model.layers.14.linear_attn.in_proj_b",
|
| 156 |
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"model.language_model.layers.16.linear_attn.conv1d",
|
| 157 |
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"model.language_model.layers.16.linear_attn.in_proj_a",
|
| 158 |
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"model.language_model.layers.16.linear_attn.in_proj_b",
|
| 159 |
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"model.language_model.layers.17.linear_attn.conv1d",
|
| 160 |
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"model.language_model.layers.17.linear_attn.in_proj_a",
|
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"model.layers.61.linear_attn.conv1d",
|
| 416 |
+
"model.layers.61.linear_attn.in_proj_a",
|
| 417 |
+
"model.layers.61.linear_attn.in_proj_b",
|
| 418 |
+
"model.layers.62.linear_attn.conv1d",
|
| 419 |
+
"model.layers.62.linear_attn.in_proj_a",
|
| 420 |
+
"model.layers.62.linear_attn.in_proj_b",
|
| 421 |
+
"model.layers.8.linear_attn.conv1d",
|
| 422 |
+
"model.layers.8.linear_attn.in_proj_a",
|
| 423 |
+
"model.layers.8.linear_attn.in_proj_b",
|
| 424 |
+
"model.layers.9.linear_attn.conv1d",
|
| 425 |
+
"model.layers.9.linear_attn.in_proj_a",
|
| 426 |
+
"model.layers.9.linear_attn.in_proj_b"
|
| 427 |
+
],
|
| 428 |
+
"quant_algo": "NVFP4",
|
| 429 |
+
"producer": {
|
| 430 |
+
"name": "modelopt",
|
| 431 |
+
"version": "0.47.0"
|
| 432 |
+
},
|
| 433 |
+
"quant_method": "modelopt"
|
| 434 |
+
}
|
| 435 |
}
|