sparsetral-16x7B-v1 / config.json
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{
"adapter_dim": 64,
"architectures": [
"modeling_sparsetral.MistralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"lora_alpha": 16,
"lora_r": 64,
"max_position_embeddings": 32768,
"model_type": "sparsetral",
"moe_dtype": "bfloat16",
"moe_scaling": 1,
"num_attention_heads": 32,
"num_experts": 16,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"output_router_logits": false,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_theta": 10000.0,
"sliding_window": 4096,
"tie_word_embeddings": false,
"topk": 4,
"torch_dtype": "bfloat16",
"transformers_version": "4.36.2",
"use_cache": true,
"vocab_size": 32000,
"auto_map": {
"AutoConfig": "configuration_sparsetral.SparsetralConfig",
"AutoModel": "modeling_sparsetral.MistralModel",
"AutoModelForCausalLM": "modeling_sparsetral.MistralForCausalLM"
}
}