Laguna-XS.2-4bit / config.json
prince-canuma's picture
Add files using upload-large-folder tool
799182f verified
{
"architectures": [
"LagunaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_laguna.LagunaConfig",
"AutoModelForCausalLM": "modeling_laguna.LagunaForCausalLM"
},
"bos_token_id": 2,
"eos_token_id": [
2,
24
],
"gating": true,
"head_dim": 128,
"hidden_size": 2048,
"intermediate_size": 8192,
"layer_types": [
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention",
"full_attention",
"sliding_attention",
"sliding_attention",
"sliding_attention"
],
"max_position_embeddings": 131072,
"mlp_layer_types": [
"dense",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse",
"sparse"
],
"model_type": "laguna",
"moe_apply_router_weight_on_input": false,
"moe_intermediate_size": 512,
"moe_routed_scaling_factor": 2.5,
"num_attention_heads": 48,
"num_attention_heads_per_layer": [
48,
64,
64,
64,
48,
64,
64,
64,
48,
64,
64,
64,
48,
64,
64,
64,
48,
64,
64,
64,
48,
64,
64,
64,
48,
64,
64,
64,
48,
64,
64,
64,
48,
64,
64,
64,
48,
64,
64,
64
],
"num_experts": 256,
"num_experts_per_tok": 8,
"num_hidden_layers": 40,
"num_key_value_heads": 8,
"pad_token_id": 9,
"partial_rotary_factor": 0.5,
"quantization": {
"group_size": 64,
"bits": 4,
"mode": "affine",
"model.layers.1.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.2.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.3.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.4.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.5.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.6.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.7.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.8.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.9.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.10.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.11.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.12.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.13.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.14.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.15.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.16.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.17.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.18.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.19.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.20.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.21.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.22.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.23.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.24.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.25.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.26.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.27.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.28.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.29.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.30.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.31.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.32.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.33.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.34.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.35.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.36.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.37.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.38.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.39.mlp.gate.proj": {
"group_size": 64,
"bits": 8
}
},
"quantization_config": {
"group_size": 64,
"bits": 4,
"mode": "affine",
"model.layers.1.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.2.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.3.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.4.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.5.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.6.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.7.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.8.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.9.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.10.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.11.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.12.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.13.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.14.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.15.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.16.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.17.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.18.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.19.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.20.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.21.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.22.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.23.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.24.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.25.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.26.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.27.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.28.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.29.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.30.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.31.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.32.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.33.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.34.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.35.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.36.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.37.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.38.mlp.gate.proj": {
"group_size": 64,
"bits": 8
},
"model.layers.39.mlp.gate.proj": {
"group_size": 64,
"bits": 8
}
},
"rms_norm_eps": 1e-06,
"rope_parameters": {
"full_attention": {
"rope_theta": 500000.0,
"rope_type": "yarn",
"factor": 32.0,
"original_max_position_embeddings": 4096,
"beta_slow": 1.0,
"beta_fast": 64.0,
"attention_factor": 1.0,
"partial_rotary_factor": 0.5
},
"sliding_attention": {
"rope_type": "default",
"rope_theta": 10000.0,
"partial_rotary_factor": 1.0
},
"original_max_position_embeddings": 4096
},
"router_aux_loss_coef": 0.0,
"shared_expert_intermediate_size": 512,
"sliding_window": 512,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"use_cache": true,
"vocab_size": 100352
}