Trained with Unsloth - config
Browse files- config.json +101 -0
config.json
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{
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"architectures": [
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"Gemma3ForConditionalGeneration"
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],
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"boi_token_index": 255999,
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"bos_token_id": 2,
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"torch_dtype": "float16",
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"eoi_token_index": 256000,
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"eos_token_id": 106,
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"image_token_index": 262144,
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"initializer_range": 0.02,
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"mm_tokens_per_image": 256,
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"model_type": "gemma3",
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"pad_token_id": 0,
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"text_config": {
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"_sliding_window_pattern": 6,
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": null,
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"cache_implementation": "hybrid",
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"torch_dtype": "float16",
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"final_logit_softcapping": null,
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"head_dim": 256,
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 10240,
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"layer_types": [
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention"
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],
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"max_position_embeddings": 131072,
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"model_type": "gemma3_text",
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"num_attention_heads": 8,
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"num_hidden_layers": 34,
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"num_key_value_heads": 4,
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| 69 |
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"query_pre_attn_scalar": 256,
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| 70 |
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"rms_norm_eps": 1e-06,
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| 71 |
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"rope_local_base_freq": 10000.0,
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"rope_scaling": {
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"factor": 8.0,
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"rope_type": "linear"
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},
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"rope_theta": 1000000.0,
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"sliding_window": 1024,
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"sliding_window_pattern": 6,
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"use_bidirectional_attention": false,
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"use_cache": true,
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"vocab_size": 262208
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},
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"transformers_version": "4.57.3",
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"unsloth_fixed": true,
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"unsloth_version": "2025.12.9",
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"vision_config": {
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"attention_dropout": 0.0,
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"torch_dtype": "float16",
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 1152,
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"image_size": 896,
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"intermediate_size": 4304,
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"layer_norm_eps": 1e-06,
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"model_type": "siglip_vision_model",
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 27,
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"patch_size": 14,
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"vision_use_head": false
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}
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}
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