CocoRoF's picture
gemma-12b-4bit-dpo Done
cc18537 verified
{
"architectures": [
"Gemma3ForConditionalGeneration"
],
"boi_token_index": 255999,
"bos_token_id": 2,
"eoi_token_index": 256000,
"eos_token_id": 106,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2",
"3": "LABEL_3",
"4": "LABEL_4",
"5": "LABEL_5",
"6": "LABEL_6",
"7": "LABEL_7",
"8": "LABEL_8",
"9": "LABEL_9",
"10": "LABEL_10",
"11": "LABEL_11",
"12": "LABEL_12",
"13": "LABEL_13",
"14": "LABEL_14",
"15": "LABEL_15",
"16": "LABEL_16"
},
"image_token_index": 262144,
"initializer_range": 0.02,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_10": 10,
"LABEL_11": 11,
"LABEL_12": 12,
"LABEL_13": 13,
"LABEL_14": 14,
"LABEL_15": 15,
"LABEL_16": 16,
"LABEL_2": 2,
"LABEL_3": 3,
"LABEL_4": 4,
"LABEL_5": 5,
"LABEL_6": 6,
"LABEL_7": 7,
"LABEL_8": 8,
"LABEL_9": 9
},
"mm_tokens_per_image": 256,
"model_type": "gemma3",
"pad_token_id": 0,
"quantization_config": {
"_load_in_4bit": true,
"_load_in_8bit": false,
"bnb_4bit_compute_dtype": "bfloat16",
"bnb_4bit_quant_storage": "uint8",
"bnb_4bit_quant_type": "nf4",
"bnb_4bit_use_double_quant": true,
"llm_int8_enable_fp32_cpu_offload": false,
"llm_int8_has_fp16_weight": false,
"llm_int8_skip_modules": [
"lm_head",
"multi_modal_projector",
"merger",
"modality_projection",
"language_model.model.layers.14.mlp",
"language_model.model.layers.2.self_attn",
"language_model.model.layers.12.mlp",
"language_model.model.layers.8.self_attn",
"language_model.model.layers.6.self_attn",
"language_model.model.layers.13.mlp",
"language_model.model.layers.1.mlp",
"language_model.model.layers.10.mlp",
"language_model.model.layers.16.mlp",
"language_model.model.layers.5.self_attn",
"language_model.model.layers.2.mlp",
"language_model.model.layers.4.mlp",
"language_model.model.layers.5.mlp",
"language_model.model.layers.9.mlp",
"language_model.model.layers.7.self_attn",
"language_model.model.layers.6.mlp",
"language_model.model.layers.8.mlp",
"vision_tower.vision_model.encoder.layers.23.self_attn",
"language_model.model.layers.7.mlp",
"language_model.model.layers.3.self_attn",
"language_model.model.layers.11.mlp",
"language_model.model.layers.3.mlp",
"vision_tower.vision_model.encoder.layers.19.self_attn",
"vision_tower.vision_model.encoder.layers.25.self_attn",
"vision_tower.vision_model.encoder.layers.22.self_attn",
"vision_tower.vision_model.encoder.layers.21.self_attn",
"vision_tower.vision_model.encoder.layers.18.self_attn",
"vision_tower.vision_model.encoder.layers.17.mlp",
"vision_tower.vision_model.encoder.layers.24.self_attn",
"vision_tower.vision_model.encoder.layers.24.mlp",
"vision_tower.vision_model.encoder.layers.26.self_attn",
"vision_tower.vision_model.encoder.layers.20.mlp",
"vision_tower.vision_model.encoder.layers.20.self_attn",
"vision_tower.vision_model.encoder.layers.23.mlp",
"vision_tower.vision_model.encoder.layers.19.mlp",
"vision_tower.vision_model.encoder.layers.15.self_attn",
"vision_tower.vision_model.encoder.layers.14.mlp",
"vision_tower.vision_model.encoder.layers.13.mlp",
"vision_tower.vision_model.encoder.layers.21.mlp",
"vision_tower.vision_model.encoder.layers.16.mlp",
"vision_tower.vision_model.encoder.layers.25.mlp",
"vision_tower.vision_model.encoder.layers.15.mlp",
"vision_tower.vision_model.encoder.layers.14.self_attn",
"vision_tower.vision_model.encoder.layers.16.self_attn",
"vision_tower.vision_model.encoder.layers.10.mlp",
"vision_tower.vision_model.encoder.layers.17.self_attn",
"vision_tower.vision_model.encoder.layers.9.mlp",
"vision_tower.vision_model.encoder.layers.11.mlp",
"vision_tower.vision_model.encoder.layers.12.mlp",
"vision_tower.vision_model.encoder.layers.10.self_attn",
"vision_tower.vision_model.encoder.layers.22.mlp",
"vision_tower.vision_model.encoder.layers.13.self_attn",
"vision_tower.vision_model.encoder.layers.18.mlp",
"vision_tower.vision_model.encoder.layers.12.self_attn",
"vision_tower.vision_model.encoder.layers.7.mlp",
"vision_tower.vision_model.encoder.layers.6.mlp",
"vision_tower.vision_model.encoder.layers.8.self_attn",
"vision_tower.vision_model.encoder.layers.9.self_attn",
"vision_tower.vision_model.encoder.layers.4.mlp",
"vision_tower.vision_model.encoder.layers.5.mlp",
"vision_tower.vision_model.encoder.layers.8.mlp",
"vision_tower.vision_model.encoder.layers.1.mlp",
"vision_tower.vision_model.encoder.layers.6.self_attn",
"vision_tower.vision_model.encoder.layers.4.self_attn",
"vision_tower.vision_model.encoder.layers.11.self_attn",
"vision_tower.vision_model.encoder.layers.7.self_attn",
"vision_tower.vision_model.encoder.layers.0.self_attn",
"vision_tower.vision_model.encoder.layers.3.mlp",
"vision_tower.vision_model.encoder.layers.1.self_attn",
"vision_tower.vision_model.encoder.layers.2.mlp",
"vision_tower.vision_model.encoder.layers.5.self_attn",
"vision_tower.vision_model.encoder.layers.3.self_attn",
"vision_tower.vision_model.encoder.layers.0.mlp",
"vision_tower.vision_model.encoder.layers.26.mlp",
"vision_tower.vision_model.encoder.layers.2.self_attn"
],
"llm_int8_threshold": 6.0,
"load_in_4bit": true,
"load_in_8bit": false,
"quant_method": "bitsandbytes"
},
"text_config": {
"attention_bias": false,
"attention_dropout": 0.0,
"attn_logit_softcapping": null,
"cache_implementation": "hybrid",
"final_logit_softcapping": null,
"head_dim": 256,
"hidden_activation": "gelu_pytorch_tanh",
"hidden_size": 3840,
"initializer_range": 0.02,
"intermediate_size": 15360,
"max_position_embeddings": 131072,
"model_type": "gemma3_text",
"num_attention_heads": 16,
"num_hidden_layers": 48,
"num_key_value_heads": 8,
"query_pre_attn_scalar": 256,
"rms_norm_eps": 1e-06,
"rope_local_base_freq": 10000.0,
"rope_scaling": {
"factor": 8.0,
"rope_type": "linear"
},
"rope_theta": 1000000.0,
"sliding_window": 1024,
"sliding_window_pattern": 6,
"torch_dtype": "bfloat16",
"use_cache": true,
"vocab_size": 262208
},
"torch_dtype": "bfloat16",
"transformers_version": "4.50.0",
"unsloth_fixed": true,
"vision_config": {
"attention_dropout": 0.0,
"hidden_act": "gelu_pytorch_tanh",
"hidden_size": 1152,
"image_size": 896,
"intermediate_size": 4304,
"layer_norm_eps": 1e-06,
"model_type": "siglip_vision_model",
"num_attention_heads": 16,
"num_channels": 3,
"num_hidden_layers": 27,
"patch_size": 14,
"torch_dtype": "bfloat16",
"vision_use_head": false
}
}