Etheria-55b-v0.1-GPTQ / config.json
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{
"_name_or_path": "/workspace/process/steelskull_etheria-55b-v0.1/source",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 7168,
"initializer_range": 0.02,
"intermediate_size": 20480,
"max_position_embeddings": 200000,
"model_type": "llama",
"num_attention_heads": 56,
"num_hidden_layers": 98,
"num_key_value_heads": 8,
"pad_token_id": 0,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 5000000.0,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.37.0.dev0",
"use_cache": true,
"vocab_size": 64002,
"quantization_config": {
"bits": 4,
"group_size": -1,
"damp_percent": 0.1,
"desc_act": true,
"static_groups": false,
"sym": true,
"true_sequential": true,
"model_name_or_path": null,
"model_file_base_name": "model",
"quant_method": "gptq",
"modules_in_block_to_quantize": [
[
"self_attn.k_proj",
"self_attn.v_proj",
"self_attn.q_proj"
],
[
"self_attn.o_proj"
],
[
"mlp.up_proj",
"mlp.gate_proj"
],
[
"mlp.down_proj"
]
]
}
}