Text Classification
Safetensors
gemma2
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{
"_name_or_path": "Ray2333/GRM-gemma2-2B-rewardmodel-ft",
"architectures": [
"Gemma2ForSequenceClassification"
],
"attention_bias": false,
"attention_dropout": 0.0,
"attn_logit_softcapping": 50.0,
"bos_token_id": 2,
"cache_implementation": "hybrid",
"eos_token_id": [
1,
107
],
"final_logit_softcapping": 30.0,
"head_dim": 256,
"hidden_act": "gelu_pytorch_tanh",
"hidden_activation": "gelu_pytorch_tanh",
"hidden_size": 2304,
"id2label": {
"0": "LABEL_0"
},
"initializer_range": 0.02,
"intermediate_size": 9216,
"label2id": {
"LABEL_0": 0
},
"max_position_embeddings": 8192,
"model_type": "gemma2",
"num_attention_heads": 8,
"num_hidden_layers": 26,
"num_key_value_heads": 4,
"pad_token_id": 1,
"query_pre_attn_scalar": 256,
"rms_norm_eps": 1e-06,
"rope_theta": 10000.0,
"sliding_window": 4096,
"torch_dtype": "float16",
"transformers_version": "4.44.2",
"use_cache": true,
"vhead_layer_type": "mlp",
"vhead_num_layers": 1,
"vhead_num_neurons": 1024,
"vocab_size": 256000
}