Laguna-XS.2-FP8 / config.json
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Laguna XS.2 upload
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{
"architectures": [
"LagunaForCausalLM"
],
"auto_map": {
"AutoConfig": "configuration_laguna.LagunaConfig",
"AutoModelForCausalLM": "modeling_laguna.LagunaForCausalLM"
},
"model_type": "laguna",
"vocab_size": 100352,
"hidden_size": 2048,
"intermediate_size": 8192,
"num_hidden_layers": 40,
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"num_key_value_heads": 8,
"head_dim": 128,
"max_position_embeddings": 131072,
"attention_bias": false,
"attention_dropout": 0.0,
"rms_norm_eps": 1e-06,
"num_experts": 256,
"num_experts_per_tok": 8,
"moe_intermediate_size": 512,
"shared_expert_intermediate_size": 512,
"router_aux_loss_coef": 0.0,
"bos_token_id": 2,
"eos_token_id": [
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],
"pad_token_id": 9,
"tie_word_embeddings": false,
"use_cache": true,
"torch_dtype": "bfloat16",
"gating": true,
"sliding_window": 512,
"rope_parameters": {
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"rope_type": "yarn",
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"beta_slow": 1.0,
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},
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},
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},
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],
"moe_apply_router_weight_on_input": false,
"partial_rotary_factor": 0.5,
"mlp_layer_types": [
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"use_bidirectional_attention": false,
"moe_routed_scaling_factor": 2.5,
"num_attention_heads_per_layer": [
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],
"quantization_config": {
"config_groups": {
"group_0": {
"format": "float-quantized",
"input_activations": {
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"block_structure": null,
"dynamic": true,
"group_size": 128,
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"observer": null,
"observer_kwargs": {},
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"strategy": "group",
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"type": "float",
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},
"output_activations": null,
"targets": [
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"weights": {
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}
}
},
"format": "float-quantized",
"global_compression_ratio": null,
"ignore": [
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"re:.*\\.self_attn\\.q_proj$",
"re:.*\\.self_attn\\.k_proj$",
"re:.*\\.self_attn\\.v_proj$",
"re:.*\\.self_attn\\.o_proj$",
"re:.*\\.self_attn\\.g_proj$",
"re:.*\\.mlp\\.gate$"
],
"kv_cache_scheme": {
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"dynamic": false,
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"num_bits": 8,
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"strategy": "tensor",
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"type": "float",
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},
"quant_method": "compressed-tensors",
"quantization_status": "compressed",
"sparsity_config": {},
"transform_config": {
"config_groups": {
"R1": {
"apply": [
{
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"inverse": false,
"location": "weight_output",
"targets": [
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]
},
{
"ignore": [],
"inverse": true,
"location": "weight_input",
"targets": [
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"re:.*k_proj$",
"re:.*v_proj$",
"re:.*gate_proj$",
"re:.*up_proj$",
"re:.*mlp.gate$",
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]
}
],
"head_dim": 128,
"precision": "torch.float64",
"randomize": false,
"requires_grad": false,
"type": "hadamard"
}
}
},
"version": "0.14.1.dev11+gf2ee47b"
}
}