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Adding AWQ model
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{
"_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--R136a1--BeyondInfinity-v2-4x7B/snapshots/d5c2031003f5ac971e89a4e7d9eb4d08c4826011",
"architectures": [
"MixtralForCausalLM"
],
"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,
"max_position_embeddings": 32768,
"model_type": "mixtral",
"num_attention_heads": 32,
"num_experts_per_tok": 2,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"num_local_experts": 4,
"output_router_logits": false,
"quantization_config": {
"bits": 4,
"group_size": 128,
"modules_to_not_convert": [
"gate"
],
"quant_method": "awq",
"version": "gemm",
"zero_point": true
},
"rms_norm_eps": 1e-05,
"rope_theta": 10000.0,
"router_aux_loss_coef": 0.001,
"router_jitter_noise": 0.0,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.41.0",
"use_cache": false,
"vocab_size": 32000
}