RelaxingSnorlax's picture
Upload folder using huggingface_hub
12fbb9a verified
{
"_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"head_dim": 64,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 5632,
"max_position_embeddings": 2048,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 22,
"num_key_value_heads": 4,
"pretraining_tp": 1,
"quantization_config": {
"quant_method": "compressed-tensors",
"sparsity_config": {
"format": "dense",
"global_sparsity": 0.12010433170183177,
"ignore": [
"model.layers.6.self_attn.q_proj",
"model.layers.6.self_attn.k_proj",
"model.layers.6.self_attn.v_proj",
"model.layers.6.self_attn.o_proj",
"model.layers.6.mlp.gate_proj",
"model.layers.6.mlp.up_proj",
"model.layers.6.mlp.down_proj",
"model.layers.7.self_attn.q_proj",
"model.layers.7.self_attn.k_proj",
"model.layers.7.self_attn.v_proj",
"model.layers.7.self_attn.o_proj",
"model.layers.7.mlp.gate_proj",
"model.layers.7.mlp.up_proj",
"model.layers.7.mlp.down_proj",
"model.layers.8.self_attn.q_proj",
"model.layers.8.self_attn.k_proj",
"model.layers.8.self_attn.v_proj",
"model.layers.8.self_attn.o_proj",
"model.layers.8.mlp.gate_proj",
"model.layers.8.mlp.up_proj",
"model.layers.8.mlp.down_proj",
"model.layers.9.self_attn.q_proj",
"model.layers.9.self_attn.k_proj",
"model.layers.9.self_attn.v_proj",
"model.layers.9.self_attn.o_proj",
"model.layers.9.mlp.gate_proj",
"model.layers.9.mlp.up_proj",
"model.layers.9.mlp.down_proj",
"model.layers.10.self_attn.q_proj",
"model.layers.10.self_attn.k_proj",
"model.layers.10.self_attn.v_proj",
"model.layers.10.self_attn.o_proj",
"model.layers.10.mlp.gate_proj",
"model.layers.10.mlp.up_proj",
"model.layers.10.mlp.down_proj",
"model.layers.11.self_attn.q_proj",
"model.layers.11.self_attn.k_proj",
"model.layers.11.self_attn.v_proj",
"model.layers.11.self_attn.o_proj",
"model.layers.11.mlp.gate_proj",
"model.layers.11.mlp.up_proj",
"model.layers.11.mlp.down_proj",
"model.layers.12.self_attn.q_proj",
"model.layers.12.self_attn.k_proj",
"model.layers.12.self_attn.v_proj",
"model.layers.12.self_attn.o_proj",
"model.layers.12.mlp.gate_proj",
"model.layers.12.mlp.up_proj",
"model.layers.12.mlp.down_proj",
"model.layers.13.self_attn.q_proj",
"model.layers.13.self_attn.k_proj",
"model.layers.13.self_attn.v_proj",
"model.layers.13.self_attn.o_proj",
"model.layers.13.mlp.gate_proj",
"model.layers.13.mlp.up_proj",
"model.layers.13.mlp.down_proj",
"model.layers.14.self_attn.q_proj",
"model.layers.14.self_attn.k_proj",
"model.layers.14.self_attn.v_proj",
"model.layers.14.self_attn.o_proj",
"model.layers.14.mlp.gate_proj",
"model.layers.14.mlp.up_proj",
"model.layers.14.mlp.down_proj",
"model.layers.15.self_attn.q_proj",
"model.layers.15.self_attn.k_proj",
"model.layers.15.self_attn.v_proj",
"model.layers.15.self_attn.o_proj",
"model.layers.15.mlp.gate_proj",
"model.layers.15.mlp.up_proj",
"model.layers.15.mlp.down_proj",
"model.layers.16.self_attn.q_proj",
"model.layers.16.self_attn.k_proj",
"model.layers.16.self_attn.v_proj",
"model.layers.16.self_attn.o_proj",
"model.layers.16.mlp.gate_proj",
"model.layers.16.mlp.up_proj",
"model.layers.16.mlp.down_proj",
"model.layers.17.self_attn.q_proj",
"model.layers.17.self_attn.k_proj",
"model.layers.17.self_attn.v_proj",
"model.layers.17.self_attn.o_proj",
"model.layers.17.mlp.gate_proj",
"model.layers.17.mlp.up_proj",
"model.layers.17.mlp.down_proj",
"model.layers.18.self_attn.q_proj",
"model.layers.18.self_attn.k_proj",
"model.layers.18.self_attn.v_proj",
"model.layers.18.self_attn.o_proj",
"model.layers.18.mlp.gate_proj",
"model.layers.18.mlp.up_proj",
"model.layers.18.mlp.down_proj",
"model.layers.19.self_attn.q_proj",
"model.layers.19.self_attn.k_proj",
"model.layers.19.self_attn.v_proj",
"model.layers.19.self_attn.o_proj",
"model.layers.19.mlp.gate_proj",
"model.layers.19.mlp.up_proj",
"model.layers.19.mlp.down_proj",
"model.layers.20.self_attn.q_proj",
"model.layers.20.self_attn.k_proj",
"model.layers.20.self_attn.v_proj",
"model.layers.20.self_attn.o_proj",
"model.layers.20.mlp.gate_proj",
"model.layers.20.mlp.up_proj",
"model.layers.20.mlp.down_proj",
"model.layers.21.self_attn.q_proj",
"model.layers.21.self_attn.k_proj",
"model.layers.21.self_attn.v_proj",
"model.layers.21.self_attn.o_proj",
"model.layers.21.mlp.gate_proj",
"model.layers.21.mlp.up_proj",
"model.layers.21.mlp.down_proj",
"lm_head"
],
"registry_requires_subclass": false,
"sparsity_structure": "2:4",
"targets": [
"model.layers.0.self_attn.q_proj",
"model.layers.0.self_attn.k_proj",
"model.layers.0.self_attn.v_proj",
"model.layers.0.self_attn.o_proj",
"model.layers.0.mlp.gate_proj",
"model.layers.0.mlp.up_proj",
"model.layers.0.mlp.down_proj",
"model.layers.1.self_attn.q_proj",
"model.layers.1.self_attn.k_proj",
"model.layers.1.self_attn.v_proj",
"model.layers.1.self_attn.o_proj",
"model.layers.1.mlp.gate_proj",
"model.layers.1.mlp.up_proj",
"model.layers.1.mlp.down_proj",
"model.layers.2.self_attn.q_proj",
"model.layers.2.self_attn.k_proj",
"model.layers.2.self_attn.v_proj",
"model.layers.2.self_attn.o_proj",
"model.layers.2.mlp.gate_proj",
"model.layers.2.mlp.up_proj",
"model.layers.2.mlp.down_proj",
"model.layers.3.self_attn.q_proj",
"model.layers.3.self_attn.k_proj",
"model.layers.3.self_attn.v_proj",
"model.layers.3.self_attn.o_proj",
"model.layers.3.mlp.gate_proj",
"model.layers.3.mlp.up_proj",
"model.layers.3.mlp.down_proj",
"model.layers.4.self_attn.q_proj",
"model.layers.4.self_attn.k_proj",
"model.layers.4.self_attn.v_proj",
"model.layers.4.self_attn.o_proj",
"model.layers.4.mlp.gate_proj",
"model.layers.4.mlp.up_proj",
"model.layers.4.mlp.down_proj",
"model.layers.5.self_attn.q_proj",
"model.layers.5.self_attn.k_proj",
"model.layers.5.self_attn.v_proj",
"model.layers.5.self_attn.o_proj",
"model.layers.5.mlp.gate_proj",
"model.layers.5.mlp.up_proj",
"model.layers.5.mlp.down_proj"
]
},
"version": "0.9.1"
},
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 10000.0,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.47.0",
"use_cache": true,
"vocab_size": 32000
}