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Model: dikiyplayerpig/dpp-gpt-v2.0-flash-135m
Source: Original Platform

.gitattributes

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README.md

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+---
+tags:
+- text-generation
+- custom-framework
+- gguf
+- llama-3
+- ru
+- en
+license: apache-2.0
+language:
+- en
+- ru
+---
+
+# 🧠 dpp-gpt v2.0 Flash (135M)
+
+*(🇺🇸 English / 🇷🇺 Русский)*
+
+This is a compact language model trained **from scratch** on the Llama 3 architecture. The model is part of the dpp-gpt small language models (SLM) family.
+
+## ⚙️ Model Details
+* **Architecture:** Llama 3
+* **Parameters:** 136.9M
+* **Layers:** 16
+* **Hidden size (Embeddings):** 768
+* **Attention heads:** 12
+* **Vocab size:** ~24,000
+* **Context:** 1024 tokens
+* **Format:** GGUF
+* **License:** Apache 2.0
+
+## 🚀 Features & Training
+* **Pre-training:** Weights were randomly initialized, and the architecture was built entirely from scratch.
+* **Fine-Tuning (SFT):** The model underwent Supervised Fine-Tuning (SFT) on a custom dataset to understand dialogue structure and answer questions.
+
+## 📊 Training Data
+The model was pre-trained on a corpus of **~6.93 Billion tokens**. The dataset is a carefully balanced mix of languages, code, and reasoning data:
+* **49%** — CulturaX (Russian text corpus)
+* **28%** — Russian Wikipedia 
+* **11%** — Source code in various programming languages 
+* **9%** — Cosmopedia 
+* **3%** — Mathematics 
+
+## 💻 How to Use
+The model is optimized for low-end devices and smartphones. It can be easily run using:
+* **LM Studio**
+* **llama.cpp**
+* **KoboldCPP**
+ 
+* recommended temperature: **0.3**
+* recommended top-k: **10**
+
+**Standard Prompt Format (ChatML):**
+```text
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+**Reasoning Mode Prompt:**
+```text
+<|im_start|>user
+[THINK] {prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+---
+
+# 🇷🇺 Описание на русском
+
+Это компактная языковая модель, обученная **с нуля (from scratch)** на архитектуре Llama 3. Модель является частью семейства малых языковых моделей (SLM) проекта dpp-gpt.
+
+## ⚙️ Детали модели
+* **Архитектура:** Llama 3
+* **Параметры:** 136.9M
+* **Слои (Layers):** 16
+* **Размерность (Hidden size):** 768
+* **Головы внимания (Attention heads):** 12
+* **Размер словаря (Vocab size):** ~24,000
+* **Контекст:** 1024 токена
+* **Формат весов:** GGUF
+* **Лицензия:** Apache 2.0
+
+## 🚀 Особенности и обучение
+* **Pre-training:** Веса были инициализированы случайным образом, архитектура полностью собрана с нуля.
+* **Fine-Tuning (SFT):** Модель прошла стадию SFT на авторском датасете, чтобы понимать структуру диалога и отвечать на вопросы.
+
+## 📊 Данные для обучения
+Модель обучалась на корпусе объемом **~6.93 млрд токенов**. Состав датасета был сбалансирован для получения базовых навыков языка, логики и программирования:
+* **49%** — CulturaX (очищенный русскоязычный корпус)
+* **28%** — Русская Википедия
+* **11%** — Исходный код на различных языках программирования
+* **9%** — Cosmopedia 
+* **3%** — Математика 
+
+## 💻 Как использовать
+Модель оптимизирована для работы на слабых устройствах и телефонах. Она легко запускается через:
+* **LM Studio**
+* **llama.cpp**
+* **KoboldCPP**
+
+* рекомендованная temperature: **0.3**
+* рекомендованный top-k: **10**
+
+**Стандартный формат промпта:**
+```text
+<|im_start|>user
+{промпт}<|im_end|>
+<|im_start|>assistant
+```
+
+**Режим размышления:**
+```text
+<|im_start|>user
+[THINK] {промпт}<|im_end|>
+<|im_start|>assistant
+```
+
+<!-- lmstudio-hotfix -->
+
+## Hotfix
+
+The GGUF files in this repository were re-uploaded as a hotfix.
+
+An LM Studio update changed the way special tokens are handled, which made the
+previously published GGUF files generate broken output. The conversion has been
+fixed and the quantizations here were rebuilt from the corrected model. The
+weights are unchanged — only the token metadata inside the GGUF files.
+
+If you downloaded a GGUF from this repository before this commit, please
+download it again.

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