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Model: limloop/MN-12B-Hydra-RP-RU Source: Original Platform
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README.md
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---
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license: apache-2.0
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base_model:
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- IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b_slerp
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- DavidAU/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC
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- Naphula/MN-12B-Mag-Mell-R1-Uncensored
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- Aleteian/Pathfinder-RP-12B-RU
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library_name: transformers
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language:
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- en
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- ru
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tags:
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- mergekit
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- merge
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- russian
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- uncensored
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- roleplay
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- mixtral-nemo
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---
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# MN-12B-Hydra-RP-RU
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<details>
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<summary>🇷🇺 Нажмите, чтобы развернуть описание на русском</summary>
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## 🌟 О модели
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**MN-12B-Hydra-RP-RU** — экспериментальный merge на базе Mistral Nemo 12B, сочетающий:
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* 🎭 Сильные ролевые способности
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* 📚 Глубокий литературный русский язык
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* 🔓 Снятую цензуру
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Модель собрана методом TIES-merging, что позволяет объединять веса нескольких моделей с минимальными конфликтами между параметрами.
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## 🎯 Особенности
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* Основной язык — русский
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* Хорошо держит персонажей и контекст
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* Следует инструкциям
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* Сохраняет возможности базового Nemo
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* Не проходила дополнительного обучения после слияния
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## ⚠️ Важно
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Uncensored-характер модели означает, что она может генерировать контент, который некоторые пользователи сочтут неподобающим.
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</details>
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High-quality TIES merge based on **Mistral Nemo 12B**, optimized for roleplay, strong Russian language capabilities, and uncensored behavior.
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---
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## 🌍 Overview
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**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:
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* 🎭 Advanced roleplay capability from Pathfinder-RP
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* 📚 Deep Russian language fluency inspired by Vikhr + Dostoevsky-style tuning
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* 🔓 Reduced safety filtering via uncensored components
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The merge was created using **TIES merging**, which allows combining model deltas while minimizing destructive interference between weights.
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---
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## 🎯 Key Features
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| Feature | Description |
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| ------------------------- | ------------------------------------------------ |
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| **Languages** | Russian, English |
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| **Censorship** | Uncensored behavior |
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| **Roleplay** | Strong character consistency and narrative depth |
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| **Instruction Following** | Reliable prompt adherence |
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| **Tool Calling** | Retains base Nemo capabilities |
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| **Architecture** | Mistral Nemo 12B |
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---
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## 🧩 Model Composition
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The merge combines the following models:
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| Model | Role in merge | Weight |
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| ------------------------------ | ------------------------- | ------ |
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| **Pathfinder-RP-12B-RU** | Base model, RP backbone | 0.60 |
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| **Vikhr Nemo ORPO Dostoevsky** | Literary Russian depth | 0.25 |
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| **HERETIC Uncensored** | Safety removal | 0.30 |
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| **Mag-Mell R1 Uncensored** | Additional uncensor delta | 0.20 |
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*Weights shown before normalization (final weights are normalized to sum = 1).*
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---
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## 💡 Usage Example
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_name = "limloop/MN-12B-Hydra-RP-RU"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype=torch.bfloat16,
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device_map="auto"
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)
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prompt = "You are a medieval innkeeper. Greet the traveler!"
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messages = [{"role": "user", "content": prompt}]
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inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
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outputs = model.generate(inputs, max_new_tokens=512, temperature=0.7)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(response)
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```
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---
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## ⚙️ Merge Details
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Built using [mergekit](https://github.com/cg123/mergekit) with the **TIES** method (Trim, Elect Sign, Merge).
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Core mechanism:
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1. Trim low-magnitude deltas via `density`
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2. Resolve sign conflicts
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3. Weighted averaging of aligned parameters
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### Merge Configuration
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```yaml
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models:
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- model: Aleteian/Pathfinder-RP-12B-RU
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weight: 0.6
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- model: IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b_slerp
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weight: 0.25
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density: 0.9
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- model: DavidAU/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC
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weight: 0.3
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density: 0.9
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- model: Naphula/MN-12B-Mag-Mell-R1-Uncensored
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weight: 0.2
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density: 0.9
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merge_method: ties
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parameters:
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epsilon: 0.01
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normalize: true
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base_model: Aleteian/Pathfinder-RP-12B-RU
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dtype: bfloat16
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tokenizer:
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source: base
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```
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---
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## ⚠️ Known Characteristics
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* No additional post-merge fine-tuning
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* May switch to English on complex reasoning tasks
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* Uncensored components allow generation of explicit or controversial content
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config.json
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{
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"dtype": "bfloat16",
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 1024000,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"pad_token_id": 10,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "5.2.0",
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"unsloth_version": "2024.8",
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"use_cache": true,
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"vocab_size": 131074
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}
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mergekit_config.yml
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models:
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- model: Aleteian/Pathfinder-RP-12B-RU
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parameters:
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weight: 0.6
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- model: IlyaGusev/vikhr_nemo_orpo_dostoevsky_12b_slerp
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parameters:
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weight: 0.25
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density: 0.9
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- model: DavidAU/Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC
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parameters:
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weight: 0.3
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density: 0.9
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- model: Naphula/MN-12B-Mag-Mell-R1-Uncensored
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parameters:
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weight: 0.2
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density: 0.9
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merge_method: ties
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parameters:
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epsilon: 0.01
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normalize: true
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base_model: Aleteian/Pathfinder-RP-12B-RU
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dtype: bfloat16
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tokenizer:
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source: "base"
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30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
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3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:a2fa2956478eaa353c6c4b1f47fdd6868cce6075e52e169c35ae8bd28524e7a8
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size 17078668
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8033
tokenizer_config.json
Normal file
8033
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user