krishnateja95's picture
Upload folder using huggingface_hub
8023837 verified
{
"architectures": [
"Qwen3_5MoeForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"attn_output_gate": true,
"bos_token_id": null,
"dtype": "bfloat16",
"eos_token_id": 248044,
"full_attention_interval": 4,
"head_dim": 256,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"layer_types": [
"linear_attention",
"linear_attention",
"linear_attention",
"full_attention",
"linear_attention",
"linear_attention",
"linear_attention",
"full_attention",
"linear_attention",
"linear_attention",
"linear_attention",
"full_attention",
"linear_attention",
"linear_attention",
"linear_attention",
"full_attention",
"linear_attention",
"linear_attention",
"linear_attention",
"full_attention",
"linear_attention",
"linear_attention",
"linear_attention",
"full_attention",
"linear_attention",
"linear_attention",
"linear_attention",
"full_attention",
"linear_attention",
"linear_attention",
"linear_attention",
"full_attention",
"linear_attention",
"linear_attention",
"linear_attention",
"full_attention",
"linear_attention",
"linear_attention",
"linear_attention",
"full_attention"
],
"linear_conv_kernel_dim": 4,
"linear_key_head_dim": 128,
"linear_num_key_heads": 16,
"linear_num_value_heads": 32,
"linear_value_head_dim": 128,
"mamba_ssm_dtype": "float32",
"max_position_embeddings": 262144,
"mlp_only_layers": [],
"model_type": "qwen3_5_moe_text",
"moe_intermediate_size": 512,
"mtp_num_hidden_layers": 1,
"mtp_use_dedicated_embeddings": false,
"num_attention_heads": 16,
"num_experts": 256,
"num_experts_per_tok": 8,
"num_hidden_layers": 40,
"num_key_value_heads": 2,
"output_router_logits": false,
"pad_token_id": null,
"partial_rotary_factor": 0.25,
"quantization_config": {
"config_groups": {
"group_0": {
"format": "float-quantized",
"input_activations": {
"actorder": null,
"block_structure": null,
"dynamic": true,
"group_size": null,
"num_bits": 8,
"observer": null,
"observer_kwargs": {},
"scale_dtype": null,
"strategy": "token",
"symmetric": true,
"type": "float",
"zp_dtype": null
},
"output_activations": null,
"targets": [
"Linear"
],
"weights": {
"actorder": null,
"block_structure": null,
"dynamic": false,
"group_size": null,
"num_bits": 8,
"observer": "memoryless_minmax",
"observer_kwargs": {},
"scale_dtype": null,
"strategy": "channel",
"symmetric": true,
"type": "float",
"zp_dtype": null
}
}
},
"format": "float-quantized",
"global_compression_ratio": null,
"ignore": [
"model.layers.0.linear_attn.out_proj",
"model.layers.0.linear_attn.in_proj_qkv",
"model.layers.0.linear_attn.in_proj_z",
"model.layers.0.linear_attn.in_proj_b",
"model.layers.0.linear_attn.in_proj_a",
"model.layers.0.mlp.shared_expert_gate",
"model.layers.1.linear_attn.out_proj",
"model.layers.1.linear_attn.in_proj_qkv",
"model.layers.1.linear_attn.in_proj_z",
"model.layers.1.linear_attn.in_proj_b",
"model.layers.1.linear_attn.in_proj_a",
"model.layers.1.mlp.shared_expert_gate",
"model.layers.2.linear_attn.out_proj",
"model.layers.2.linear_attn.in_proj_qkv",
"model.layers.2.linear_attn.in_proj_z",
"model.layers.2.linear_attn.in_proj_b",
"model.layers.2.linear_attn.in_proj_a",
"model.layers.2.mlp.shared_expert_gate",
"model.layers.3.mlp.shared_expert_gate",
"model.layers.4.linear_attn.out_proj",
"model.layers.4.linear_attn.in_proj_qkv",
"model.layers.4.linear_attn.in_proj_z",
"model.layers.4.linear_attn.in_proj_b",
"model.layers.4.linear_attn.in_proj_a",
"model.layers.4.mlp.shared_expert_gate",
"model.layers.5.linear_attn.out_proj",
"model.layers.5.linear_attn.in_proj_qkv",
"model.layers.5.linear_attn.in_proj_z",
"model.layers.5.linear_attn.in_proj_b",
"model.layers.5.linear_attn.in_proj_a",
"model.layers.5.mlp.shared_expert_gate",
"model.layers.6.linear_attn.out_proj",
"model.layers.6.linear_attn.in_proj_qkv",
"model.layers.6.linear_attn.in_proj_z",
"model.layers.6.linear_attn.in_proj_b",
"model.layers.6.linear_attn.in_proj_a",
"model.layers.6.mlp.shared_expert_gate",
"model.layers.7.mlp.shared_expert_gate",
"model.layers.8.linear_attn.out_proj",
"model.layers.8.linear_attn.in_proj_qkv",
"model.layers.8.linear_attn.in_proj_z",
"model.layers.8.linear_attn.in_proj_b",
"model.layers.8.linear_attn.in_proj_a",
"model.layers.8.mlp.shared_expert_gate",
"model.layers.9.linear_attn.out_proj",
"model.layers.9.linear_attn.in_proj_qkv",
"model.layers.9.linear_attn.in_proj_z",
"model.layers.9.linear_attn.in_proj_b",
"model.layers.9.linear_attn.in_proj_a",
"model.layers.9.mlp.shared_expert_gate",
"model.layers.10.linear_attn.out_proj",
"model.layers.10.linear_attn.in_proj_qkv",
"model.layers.10.linear_attn.in_proj_z",
"model.layers.10.linear_attn.in_proj_b",
"model.layers.10.linear_attn.in_proj_a",
"model.layers.10.mlp.shared_expert_gate",
"model.layers.11.mlp.shared_expert_gate",
"model.layers.12.linear_attn.out_proj",
"model.layers.12.linear_attn.in_proj_qkv",
"model.layers.12.linear_attn.in_proj_z",
"model.layers.12.linear_attn.in_proj_b",
"model.layers.12.linear_attn.in_proj_a",
"model.layers.12.mlp.shared_expert_gate",
"model.layers.13.linear_attn.out_proj",
"model.layers.13.linear_attn.in_proj_qkv",
"model.layers.13.linear_attn.in_proj_z",
"model.layers.13.linear_attn.in_proj_b",
"model.layers.13.linear_attn.in_proj_a",
"model.layers.13.mlp.shared_expert_gate",
"model.layers.14.linear_attn.out_proj",
"model.layers.14.linear_attn.in_proj_qkv",
"model.layers.14.linear_attn.in_proj_z",
"model.layers.14.linear_attn.in_proj_b",
"model.layers.14.linear_attn.in_proj_a",
"model.layers.14.mlp.shared_expert_gate",
"model.layers.15.mlp.shared_expert_gate",
"model.layers.16.linear_attn.out_proj",
"model.layers.16.linear_attn.in_proj_qkv",
"model.layers.16.linear_attn.in_proj_z",
"model.layers.16.linear_attn.in_proj_b",
"model.layers.16.linear_attn.in_proj_a",
"model.layers.16.mlp.shared_expert_gate",
"model.layers.17.linear_attn.out_proj",
"model.layers.17.linear_attn.in_proj_qkv",
"model.layers.17.linear_attn.in_proj_z",
"model.layers.17.linear_attn.in_proj_b",
"model.layers.17.linear_attn.in_proj_a",
"model.layers.17.mlp.shared_expert_gate",
"model.layers.18.linear_attn.out_proj",
"model.layers.18.linear_attn.in_proj_qkv",
"model.layers.18.linear_attn.in_proj_z",
"model.layers.18.linear_attn.in_proj_b",
"model.layers.18.linear_attn.in_proj_a",
"model.layers.18.mlp.shared_expert_gate",
"model.layers.19.mlp.shared_expert_gate",
"model.layers.20.linear_attn.out_proj",
"model.layers.20.linear_attn.in_proj_qkv",
"model.layers.20.linear_attn.in_proj_z",
"model.layers.20.linear_attn.in_proj_b",
"model.layers.20.linear_attn.in_proj_a",
"model.layers.20.mlp.shared_expert_gate",
"model.layers.21.linear_attn.out_proj",
"model.layers.21.linear_attn.in_proj_qkv",
"model.layers.21.linear_attn.in_proj_z",
"model.layers.21.linear_attn.in_proj_b",
"model.layers.21.linear_attn.in_proj_a",
"model.layers.21.mlp.shared_expert_gate",
"model.layers.22.linear_attn.out_proj",
"model.layers.22.linear_attn.in_proj_qkv",
"model.layers.22.linear_attn.in_proj_z",
"model.layers.22.linear_attn.in_proj_b",
"model.layers.22.linear_attn.in_proj_a",
"model.layers.22.mlp.shared_expert_gate",
"model.layers.23.mlp.shared_expert_gate",
"model.layers.24.linear_attn.out_proj",
"model.layers.24.linear_attn.in_proj_qkv",
"model.layers.24.linear_attn.in_proj_z",
"model.layers.24.linear_attn.in_proj_b",
"model.layers.24.linear_attn.in_proj_a",
"model.layers.24.mlp.shared_expert_gate",
"model.layers.25.linear_attn.out_proj",
"model.layers.25.linear_attn.in_proj_qkv",
"model.layers.25.linear_attn.in_proj_z",
"model.layers.25.linear_attn.in_proj_b",
"model.layers.25.linear_attn.in_proj_a",
"model.layers.25.mlp.shared_expert_gate",
"model.layers.26.linear_attn.out_proj",
"model.layers.26.linear_attn.in_proj_qkv",
"model.layers.26.linear_attn.in_proj_z",
"model.layers.26.linear_attn.in_proj_b",
"model.layers.26.linear_attn.in_proj_a",
"model.layers.26.mlp.shared_expert_gate",
"model.layers.27.mlp.shared_expert_gate",
"model.layers.28.linear_attn.out_proj",
"model.layers.28.linear_attn.in_proj_qkv",
"model.layers.28.linear_attn.in_proj_z",
"model.layers.28.linear_attn.in_proj_b",
"model.layers.28.linear_attn.in_proj_a",
"model.layers.28.mlp.shared_expert_gate",
"model.layers.29.linear_attn.out_proj",
"model.layers.29.linear_attn.in_proj_qkv",
"model.layers.29.linear_attn.in_proj_z",
"model.layers.29.linear_attn.in_proj_b",
"model.layers.29.linear_attn.in_proj_a",
"model.layers.29.mlp.shared_expert_gate",
"model.layers.30.linear_attn.out_proj",
"model.layers.30.linear_attn.in_proj_qkv",
"model.layers.30.linear_attn.in_proj_z",
"model.layers.30.linear_attn.in_proj_b",
"model.layers.30.linear_attn.in_proj_a",
"model.layers.30.mlp.shared_expert_gate",
"model.layers.31.mlp.shared_expert_gate",
"model.layers.32.linear_attn.out_proj",
"model.layers.32.linear_attn.in_proj_qkv",
"model.layers.32.linear_attn.in_proj_z",
"model.layers.32.linear_attn.in_proj_b",
"model.layers.32.linear_attn.in_proj_a",
"model.layers.32.mlp.shared_expert_gate",
"model.layers.33.linear_attn.out_proj",
"model.layers.33.linear_attn.in_proj_qkv",
"model.layers.33.linear_attn.in_proj_z",
"model.layers.33.linear_attn.in_proj_b",
"model.layers.33.linear_attn.in_proj_a",
"model.layers.33.mlp.shared_expert_gate",
"model.layers.34.linear_attn.out_proj",
"model.layers.34.linear_attn.in_proj_qkv",
"model.layers.34.linear_attn.in_proj_z",
"model.layers.34.linear_attn.in_proj_b",
"model.layers.34.linear_attn.in_proj_a",
"model.layers.34.mlp.shared_expert_gate",
"model.layers.35.mlp.shared_expert_gate",
"model.layers.36.linear_attn.out_proj",
"model.layers.36.linear_attn.in_proj_qkv",
"model.layers.36.linear_attn.in_proj_z",
"model.layers.36.linear_attn.in_proj_b",
"model.layers.36.linear_attn.in_proj_a",
"model.layers.36.mlp.shared_expert_gate",
"model.layers.37.linear_attn.out_proj",
"model.layers.37.linear_attn.in_proj_qkv",
"model.layers.37.linear_attn.in_proj_z",
"model.layers.37.linear_attn.in_proj_b",
"model.layers.37.linear_attn.in_proj_a",
"model.layers.37.mlp.shared_expert_gate",
"model.layers.38.linear_attn.out_proj",
"model.layers.38.linear_attn.in_proj_qkv",
"model.layers.38.linear_attn.in_proj_z",
"model.layers.38.linear_attn.in_proj_b",
"model.layers.38.linear_attn.in_proj_a",
"model.layers.38.mlp.shared_expert_gate",
"model.layers.39.mlp.shared_expert_gate",
"lm_head"
],
"kv_cache_scheme": null,
"quant_method": "compressed-tensors",
"quantization_status": "compressed",
"sparsity_config": {},
"transform_config": {},
"version": "0.14.1.dev3+g928d36b"
},
"rms_norm_eps": 1e-06,
"rope_parameters": {
"mrope_interleaved": true,
"mrope_section": [
11,
11,
10
],
"partial_rotary_factor": 0.25,
"rope_theta": 10000000,
"rope_type": "default"
},
"router_aux_loss_coef": 0.001,
"shared_expert_intermediate_size": 512,
"tie_word_embeddings": false,
"transformers_version": "5.3.0.dev0",
"use_cache": true,
"vocab_size": 248320
}