初始化项目，由ModelHub XC社区提供模型

Model: soob3123/Veiled-Calla-4B
Source: Original Platform

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README.md

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+---
+pipeline_tag: text-generation
+library_name: transformers
+language:
+- en
+license: apache-2.0
+thumbnail: >-
+  https://cdn-uploads.huggingface.co/production/uploads/62f93f9477b722f1866398c2/F4OF_WybPBIRXKcidNUdW.png
+tags:
+- roleplay
+- creative-writing
+- immersive
+- mystery
+- storytelling
+base_model:
+- google/gemma-3-4b-it
+datasets:
+- soob3123/rp_dataset
+---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/62f93f9477b722f1866398c2/lzZDflNqPkuUcK7MbrHWF.png)
+
+# ✧ Veiled Calla ✧
+> *Mystery is at the heart of creativity. That, and surprise...As creative channels, we need to trust the darkness.*
+
+Beneath moonlight's gentle glow, Veiled Calla emerges - an enigmatic presence designed to weave immersive roleplay experiences through mysterious narratives and atmospheric storytelling. Shrouded in secrets and whispers, Veiled Calla crafts evocative scenarios where unspoken truths and subtle emotional undertones drive each unfolding tale.
+
+## ⋆ Features ⋆
+
+- **⟡ Atmospheric Depth**: Rich, moonlit scenarios bloom with subtle emotional undertones
+- **⟡ Character Consistency**: Personalities remain true throughout extended journeys
+- **⟡ Narrative Mystery**: Enigmatic storylines unfold with natural revelations
+- **⟡ Emotional Nuance**: The unspoken and veiled meanings between characters come alive
+
+## ⋆ Limitations ⋆
+- Flourishes in intimate, atmospheric, or introspective scenarios
+- May whisper overly cryptic responses in certain contexts
+- Uncensored in Roleplay mode (e.g. sillytavern), still refuses in Assistant mode (no system prompt)
+  - Use one of the [Amoral models](https://huggingface.co/collections/soob3123/amoral-collection-67dccc556a39894b36f59676) for a fully uncensored but *bland* experience

added_tokens.json

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+}

config.json

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+{
+  "architectures": [
+    "Gemma3ForConditionalGeneration"
+  ],
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+  "initializer_range": 0.02,
+  "mm_tokens_per_image": 256,
+  "model_type": "gemma3",
+  "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": 2560,
+    "initializer_range": 0.02,
+    "intermediate_size": 10240,
+    "max_position_embeddings": 131072,
+    "model_type": "gemma3_text",
+    "num_attention_heads": 8,
+    "num_hidden_layers": 34,
+    "num_key_value_heads": 4,
+    "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,
+    "use_cache": true,
+    "vocab_size": 262208
+  },
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.3",
+  "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,
+    "vision_use_head": false
+  }
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

mergekit_config.yml

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+
+models:
+  - model: TheDrummer/Fallen-Gemma3-4B-v1
+  - model: soob3123/amoral-gemma3-4B-v2
+merge_method: arcee_fusion
+base_model: soob3123/amoral-gemma3-4B-v2
+dtype: bfloat16

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preprocessor_config.json

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processor_config.json

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+  "processor_class": "Gemma3Processor"
+}

special_tokens_map.json

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+  "bos_token": {
+    "content": "<bos>",
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+    "normalized": false,
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+    "single_word": false
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