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Safetensors
llama
4-bit precision
intel/auto-round
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{
"_name_or_path": "/data5/Llama-3.3-70B-Instruct",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 128000,
"eos_token_id": [
128001,
128008,
128009
],
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"hidden_act": "silu",
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"initializer_range": 0.02,
"intermediate_size": 28672,
"max_position_embeddings": 131072,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 64,
"num_hidden_layers": 80,
"num_key_value_heads": 8,
"pretraining_tp": 1,
"quantization_config": {
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"autoround_version": "0.4.2.dev",
"batch_size": 8,
"bits": 4,
"damp_percent": 0.01,
"data_type": "int",
"desc_act": false,
"enable_minmax_tuning": true,
"enable_norm_bias_tuning": false,
"enable_quanted_input": true,
"gradient_accumulate_steps": 1,
"group_size": 128,
"iters": 1000,
"low_gpu_mem_usage": true,
"lr": 0.001,
"minmax_lr": 0.001,
"nsamples": 512,
"quant_method": "gptq",
"scale_dtype": "torch.float16",
"seqlen": 2048,
"sym": true,
"to_quant_block_names": null,
"true_sequential": false
},
"rms_norm_eps": 1e-05,
"rope_scaling": {
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"high_freq_factor": 4.0,
"low_freq_factor": 1.0,
"original_max_position_embeddings": 8192,
"rope_type": "llama3"
},
"rope_theta": 500000.0,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.47.0",
"use_cache": true,
"vocab_size": 128256
}