初始化项目，由ModelHub XC社区提供模型

Model: DarkArtsForge/Protocol-Phantom-12B
Source: Original Platform

README.md

@@ -0,0 +1,57 @@
+---
+base_model:
+- mistralai/Mistral-Nemo-Instruct-2407
+- LatitudeGames/Wayfarer-2-12B
+- WokeAI/Tankie-DPE-12B-SFT-v2
+library_name: transformers
+tags:
+- mergekit
+- merge
+- mistral
+- nemo
+- nuslerp
+widget:
+  - text: "Protocol-Phantom-12B"
+    output:
+      url: https://cdn-uploads.huggingface.co/production/uploads/68e840caa318194c44ec2a04/3kDEO5re1fpIasFVmJeeK.png
+---
+
+> [!CAUTION]
+> <span style="color:red; font-weight:bold">⚠️ Warning:</span> This model can produce narratives and RP that contain violent and graphic erotic content. Adjust your system prompt accordingly, and use **ChatML** chat template.
+>
+
+# 🧞‍ Protocol Phantom 12B
+
+![Protocol_Phantom](https://cdn-uploads.huggingface.co/production/uploads/68e840caa318194c44ec2a04/3kDEO5re1fpIasFVmJeeK.png)
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+This model was merged using the [nuslerp](https://github.com/arcee-ai/mergekit/blob/main/docs/merge_methods.md) method using **mistralai/Mistral-Nemo-Instruct-2407** as a base.
+
+**Protocol Phantom** has some refusals and may require jailbreaks or ablation to fully uncensor.
+
+Several methods were tested including `karcher` and `della`, but they produced broken output. Models such as Impish Bloodmoon, SakuraKaze, Irix, VelvetCafe, Arsenic Shahrazad, and others had to be omitted from the merge.
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+architecture: MistralForCausalLM
+base_model: B:/12B/mistralai--Mistral-Nemo-Instruct-2407
+models:
+  - model: B:/12B/LatitudeGames--Wayfarer-2-12B
+    parameters:
+      weight: 0.5
+  - model: B:/12B/WokeAI--Tankie-DPE-12b-SFT-v2
+    parameters:
+      weight: 0.5
+merge_method: nuslerp
+parameters:
+  nuslerp_flatten: false     # Flattens tensors to treat them as high-dimensional vectors
+  nuslerp_row_wise: true   # Set to true if you want to interpolate per-row instead of per-tensor
+dtype: float32
+out_dtype: bfloat16
+tokenizer:
+  source: union
+```