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Model: limloop/MN-12B-Hydra-RP-RU
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: apache-2.0
+base_model:
+- IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b_slerp
+- DavidAU/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC
+- Naphula/MN-12B-Mag-Mell-R1-Uncensored
+- Aleteian/Pathfinder-RP-12B-RU
+library_name: transformers
+language:
+  - en
+  - ru
+tags:
+- mergekit
+- merge
+- russian
+- uncensored
+- roleplay
+- mixtral-nemo
+---
+
+# MN-12B-Hydra-RP-RU
+
+<details>
+<summary>🇷🇺 Нажмите, чтобы развернуть описание на русском</summary>
+
+## 🌟 О модели
+
+**MN-12B-Hydra-RP-RU** — экспериментальный merge на базе Mistral Nemo 12B, сочетающий:
+
+* 🎭 Сильные ролевые способности
+* 📚 Глубокий литературный русский язык
+* 🔓 Снятую цензуру
+
+Модель собрана методом TIES-merging, что позволяет объединять веса нескольких моделей с минимальными конфликтами между параметрами.
+
+## 🎯 Особенности
+
+* Основной язык — русский
+* Хорошо держит персонажей и контекст
+* Следует инструкциям
+* Сохраняет возможности базового Nemo
+* Не проходила дополнительного обучения после слияния
+
+## ⚠️ Важно
+
+Uncensored-характер модели означает, что она может генерировать контент, который некоторые пользователи сочтут неподобающим.
+
+</details>
+
+High-quality TIES merge based on **Mistral Nemo 12B**, optimized for roleplay, strong Russian language capabilities, and uncensored behavior.
+
+---
+
+## 🌍 Overview
+
+**MN-12B-Hydra-RP-RU** is an experimental merge built on top of [Mistral Nemo 12B](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407), combining strengths from multiple fine-tuned models:
+
+* 🎭 Advanced roleplay capability from Pathfinder-RP
+* 📚 Deep Russian language fluency inspired by Vikhr + Dostoevsky-style tuning
+* 🔓 Reduced safety filtering via uncensored components
+
+The merge was created using **TIES merging**, which allows combining model deltas while minimizing destructive interference between weights.
+
+---
+
+## 🎯 Key Features
+
+| Feature                   | Description                                      |
+| ------------------------- | ------------------------------------------------ |
+| **Languages**             | Russian, English                       |
+| **Censorship**            | Uncensored behavior                              |
+| **Roleplay**              | Strong character consistency and narrative depth |
+| **Instruction Following** | Reliable prompt adherence                        |
+| **Tool Calling**          | Retains base Nemo capabilities                   |
+| **Architecture**          | Mistral Nemo 12B                                 |
+
+---
+
+## 🧩 Model Composition
+
+The merge combines the following models:
+
+| Model                          | Role in merge             | Weight |
+| ------------------------------ | ------------------------- | ------ |
+| **Pathfinder-RP-12B-RU**       | Base model, RP backbone   | 0.60   |
+| **Vikhr Nemo ORPO Dostoevsky** | Literary Russian depth    | 0.25   |
+| **HERETIC Uncensored**         | Safety removal            | 0.30   |
+| **Mag-Mell R1 Uncensored**     | Additional uncensor delta | 0.20   |
+
+*Weights shown before normalization (final weights are normalized to sum = 1).*
+
+---
+
+## 💡 Usage Example
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_name = "limloop/MN-12B-Hydra-RP-RU"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+
+prompt = "You are a medieval innkeeper. Greet the traveler!"
+messages = [{"role": "user", "content": prompt}]
+inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
+
+outputs = model.generate(inputs, max_new_tokens=512, temperature=0.7)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+---
+
+## ⚙️ Merge Details
+
+Built using [mergekit](https://github.com/cg123/mergekit) with the **TIES** method (Trim, Elect Sign, Merge).
+
+Core mechanism:
+
+1. Trim low-magnitude deltas via `density`
+2. Resolve sign conflicts
+3. Weighted averaging of aligned parameters
+
+### Merge Configuration
+
+```yaml
+models:
+  - model: Aleteian/Pathfinder-RP-12B-RU
+    weight: 0.6
+  - model: IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b_slerp
+    weight: 0.25
+    density: 0.9
+  - model: DavidAU/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC
+    weight: 0.3
+    density: 0.9
+  - model: Naphula/MN-12B-Mag-Mell-R1-Uncensored
+    weight: 0.2
+    density: 0.9
+
+merge_method: ties
+parameters:
+  epsilon: 0.01
+  normalize: true
+base_model: Aleteian/Pathfinder-RP-12B-RU
+dtype: bfloat16
+tokenizer:
+  source: base
+```
+
+---
+
+## ⚠️ Known Characteristics
+
+* No additional post-merge fine-tuning
+* May switch to English on complex reasoning tasks
+* Uncensored components allow generation of explicit or controversial content

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "pad_token_id": 10,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.2.0",
+  "unsloth_version": "2024.8",
+  "use_cache": true,
+  "vocab_size": 131074
+}

mergekit_config.yml

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+models:
+  - model: Aleteian/Pathfinder-RP-12B-RU
+    parameters:
+      weight: 0.6
+
+  - model: IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b_slerp
+    parameters:
+      weight: 0.25
+      density: 0.9
+
+  - model: DavidAU/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC
+    parameters:
+      weight: 0.3
+      density: 0.9
+
+  - model: Naphula/MN-12B-Mag-Mell-R1-Uncensored
+    parameters:
+      weight: 0.2
+      density: 0.9
+
+merge_method: ties
+parameters:
+  epsilon: 0.01
+  normalize: true
+
+base_model: Aleteian/Pathfinder-RP-12B-RU
+dtype: bfloat16
+
+tokenizer:
+  source: "base"

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