Update active LoRA adapter (step 300/4320)

README.md

@@ -1,43 +1,210 @@
----
-language:
-- ru
-- en
-license: apache-2.0
-pipeline_tag: text-generation
-tags:
-- reasoning
-- deepseek-r1
-- ru-deepthink-mega
-- mistral
-- text-generation
-- gguf
-- godot
-- procedural-generation
----
-
-# 🧠 Fwizzer-R1-3B-RU-v2
-
-Вторая улучшенная версия русскоязычной мыслящей языковой модели **Fwizzer-R1-3B-RU**, дообученная на масштабном мега-датасете [fwizzer1/ru-deepthink-mega](https://huggingface.co/datasets/fwizzer1/ru-deepthink-mega) (17 281 пример со 100% рассуждениями).
-
-## 🚀 Ключевые улучшения версии v2:
-1. **100% Reasoning:** Все примеры без размышлений удалены. Модель ВСЕГДА рассуждает внутри `<think> ... </think>`.
-2. **Думание в стоке (Stock Thinking):** В GGUF зашит шаблон `chat_template.jinja`, который автоматически генерирует тег `<think>` при начале ответа даже без системного промпта.
-3. **Процедурная генерация:** Добавлен глубокий блок алгоритмов (Cellular Automata для пещер, BSP комнаты/подземелья, шум Перлина, лабиринты, генерация лута и аффиксов) на **Godot 4 GDScript** и **Python**.
-4. **Логико-математические капканы:** Отработаны парадоксы и ловушки токенизации (9.11 vs 9.9, подсчёт букв в словах, парадокс Монти Холла, задачи со временем и ресурсами).
-5. **Kimi K3 Traces:** Добавлены пошаговые структурированные траектории рассуждений Kimi K3 (RU + EN + ZH).
-6. **Полный Shuffle:** Данные равномерно перемешаны для гармоничного восприятия тем.
-
----
-
-## 📦 Доступные квантизации GGUF:
-| Файл | Квантование | Размер | Назначение |
-| :--- | :---: | :---: | :--- |
-| **`Fwizzer-R1-3B-v2Speed.gguf`** | Q4_K_M | ~2.0 GB | Лёгкая и быстрая, запуск на любых ПК |
-| **`Fwizzer-R1-3B-v2Balanced.gguf`** | Q5_K_M | ~2.4 GB | Золотая середина между качеством и скоростью |
-| **`Fwizzer-R1-3B-v2Max.gguf`** | Q8_0 | ~3.4 GB | Максимальный интеллект и точность рассуждений |
-
----
-
-## 🛠️ Запуск в LM Studio
-1. Скачайте любую квантизацию GGUF.
-2. Пресет `Fwizzer-R1.preset.json` уже находится в репозитории — LM Studio автоматически свернёт рассуждения в красивый блок **Thought**.
+---
+base_model: unsloth/Ministral-3-3B-Instruct-2512-bnb-4bit
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/Ministral-3-3B-Instruct-2512-bnb-4bit
+- lora
+- sft
+- transformers
+- trl
+- unsloth
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b4f850a09068f4f724787a2e59ff0c965c7658d0f5b4f1d1a85f9ecc5f2dd3ce
+oid sha256:6ffca952d959957bfb2b1894de07336f3cc0a7cf720df3187cc930ab48be8c88
 size 98882136