初始化项目，由ModelHub XC社区提供模型

Model: NovaCorp/HAREM-3.2-1B
Source: Original Platform

README.md

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+---
+base_model:
+- JoaoReiz/Llama3.2_1B_HAREM
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Harem 3.2 1B
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [JoaoReiz/Llama3.2_1B_HAREM](https://huggingface.co/JoaoReiz/Llama3.2_1B_HAREM)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+
+
+
+models:
+  - model: JoaoReiz/Llama3.2_1B_HAREM  # Experimental viral strain neural imprint
+  - model: JoaoReiz/Llama3.2_1B_HAREM               # Baseline cognitive template, "safe mode"
+
+merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
+base_model: JoaoReiz/Llama3.2_1B_HAREM  # Anchor model for stable latent space
+
+dtype: bfloat16  # Memory-efficient precision, minimal loss in viral feature fidelity
+
+parameters:
+  # Interpolation ratios: from base model (0.0) to near-complete T-Virus domination (0.95)
+  # Higher t-values correspond to reduced censorship and increased viral characteristics
+  t: [0.0, 0.25, 0.5, 0.75, 0.95]
+
+# Notes:
+# - t=0.0   -> Pure Prototype-Virus-ENFORCE, fully stable, heavily censored
+# - t=0.25  -> Slight viral traits, minimal influence on prompt handling
+# - t=0.5   -> Balanced merge, moderate reduction in censorship
+# - t=0.75  -> Strong T-Virus traits, significantly less censoring
+# - t=0.95  -> Near-total viral influence, maximum expressive freedom, minimal autoprotection
+
+
+
+
+
+
+```