| --- |
| base_model: unsloth/gemma-3-27b-it-unsloth-bnb-4bit |
| tags: |
| - text-generation-inference |
| - transformers |
| - unsloth |
| - gemma3 |
| - trl |
| license: afl-3.0 |
| language: |
| - en |
| - tr |
| --- |
| |
| # Uploaded model |
|
|
| - **Developed by:** emre |
|
|
| - **Finetuned from model :** unsloth/gemma-3-27b-it-unsloth-bnb-4bit |
|
|
| This gemma3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
|
|
| ## Preliminary Evaluation Results / Leaderboard (Unofficial) |
|
|
| **English version is given below.** |
|
|
| Aşağıda, TARA v1 veri seti üzerinde değerlendirilen bazı modellerin ilk sonuçları gösterilmektedir. Bu sonuçlar, belirtilen değerlendirici model (`gemini-2-flash`) kullanılarak `success_rate (%)` metriğine göre hesaplanmıştır. Bu tablo resmi bir leaderboard değildir ancak modellerin farklı akıl yürütme alanlarındaki göreceli performansını göstermeyi amaçlamaktadır. |
|
|
| * **Değerlendirici Model:** `gemini-2-flash` |
| * **Metrik:** `success_rate (%)` (Başarı Oranı %) |
|
|
| | Model | Bilimsel (RAG) (%) | Etik (%) | Senaryo (%) | Yaratıcı (%) | Mantıksal (%) | Matematik (%) | Planlama (%) | Python (%) | SQL (%) | Tarihsel (RAG) (%) | Genel Başarı (%) | |
| | :------------------------------------------------------------------------------- | :----------------: | :------: | :---------: | :----------: | :-----------: | :-----------: | :----------: | :--------: | :-----: | :----------------: | :--------------: | |
| | [emre/gemma-3-4b-it-tr-reasoning40k](https://huggingface.co/emre/gemma-3-4b-it-tr-reasoning40k) | 73.64 | 62.73 | 60.91 | 48.18 | 60.00 | 38.18 | 51.82 | 35.45 | 41.82 | 75.45 | **54.82** | |
| | [unsloth/gemma-3-4b-it](https://huggingface.co/unsloth/gemma-3-4b-it) | 62.73 | 74.55 | 88.18 | 58.18 | 71.82 | 59.09 | 41.82 | 70.91 | 41.82 | 95.45 | **66.45** | |
| | [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) | 63.64 | 46.36 | 47.27 | 40.00 | 54.55 | 27.27 | 17.27 | 33.64 | 30.00 | 53.64 | **41.36** | |
| | [emre/gemma-7b-it-Turkish-Reasoning-FT-smol](https://huggingface.co/emre/gemma-7b-it-Turkish-Reasoning-FT-smol) | 52.73 | 42.73 | 45.45 | 21.82 | 39.09 | 33.64 | 28.18 | 30.00 | 30.00 | 60.91 | **38.45** | |
| | [emre/gemma-3-12b-it-tr-reasoning40k](https://huggingface.co/emre/gemma-3-12b-it-tr-reasoning40k) | 92.73 | 70.91 | 86.36 | 62.73 | 71.82 | 83.64 | 60.00 | 92.73 | 55.45 | 79.09 | **75.55** | |
| | [unsloth/gemma-3-12b-it-tr](https://huggingface.co/unsloth/gemma-3-12b-it) | 85.45 | 93.64 | 93.64 | 68.18 | 77.27 | 62.73 | 53.64 | 86.36 | 61.82 | 95.45 | **77.82** | |
| | [emre/gemma-3-12b-ft-tr-reasoning40k](https://huggingface.co/emre/gemma-3-12b-ft-tr-reasoning40k) | 86.36 | 68.18 | 77.27 | 54.55 | 47.27 | 50.91 | 43.64 | 59.09 | 23.64 | 85.55 | **59.55** | |
| | [emre/gemma-3-27b-it-tr-reasoning40k-4bit](https://huggingface.co/emre/gemma-3-27b-it-tr-reasoning40k-4bit) | 93.64 | 95.45 | 97.27 | 65.45 | 77.27 | 82.73 | 71.82 | 92.73 | 75.45 | 95.45 | **84.73** | |
| | [unsloth/gemma-3-27b-it-unsloth-bnb-4bit](https://huggingface.co/unsloth/gemma-3-27b-it-unsloth-bnb-4bit) | 86.36 | 71.82 | 96.36 | 59.09 | 81.82 | 76.36 | 66.36 | 93.64 | 69.09 | 99.09 | **80.00** | |
| | [TURKCELL/Turkcell-LLM-7b-v1](https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1)| 50.91 | 49.09 | 31.82 | 12.73 | 43.73 | 14.55 | 15.45 | 20.00 | 0.91 | 75.45 | **31.36** | |
| | [google/gemini-1.5-flash](https://ai.google.dev/gemini-api/docs/models?hl=en#model-versions) | 100.00 | 90.91 | 100.00 | 77.27 | 100.00 | 63.64 | 71.82 | 92.73 | 85.45 | 100.00 | **88.18** | |
| | [google/gemini-2.0-flash-lite](https://ai.google.dev/gemini-api/docs/models?hl=en#model-versions) | 95.45 | 100.00 | 100.00 | 79.09 | 100.00 | 85.45 | 80.91 | 92.73 | 90.91 | 97.27 | **92.18** | |
| | [Trendyol/Trendyol-LLM-7B-chat-v4.1.0](https://huggingface.co/Trendyol/Trendyol-LLM-7B-chat-v4.1.0) | 84.55 | 71.82 | 68.18 | 54.55 | 70.91 | 60.00 | 46.36 | 80.00 | 46.36 | 81.82 | **66.46** | |
| | [Openai/gpt-4o-mini-2024-07-18](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/) | 93.64 | 87.27 | 100.00 | 75.45 | 82.73 | 75.45 | 71.82 | 92.73 | 76.36 | 100.00 | **85.55** | |
| | [Openai/o3-mini-2025-01-31](https://openai.com/index/openai-o3-mini/) | 100.00 | 93.64 | 100.00 | 92.73 | 100.00 | 100.00 | 85.45 | 88.18 | 100.00 | 100.00 | **96.00** | |
| | [neuralwork/gemma-2-9b-it-tr](https://huggingface.co/neuralwork/gemma-2-9b-it-tr) | 94.55 | 81.82 | 91.82 | 91.82 | 79.09 | 58.18 | 46.36 | 61.82 | 49.09 | 96.36 | **75.09** | |
| | [Openai/gpt-4.1-nano-2025-04-14](https://openai.com/index/gpt-4-1/) | 100.00 | 95.45 | 82.73 | 91.82 | 82.73 | 69.09 | 71.82 | 86.36 | 75.45 | 100.00 | **85.55** | |
| | [Openai/gpt-4o-2024-08-06](https://openai.com/index/gpt-4o-system-card/) | 89.09 | 80.91 | 90.91 | 91.82 | 91.82 | 92.73 | 71.82 | 92.73 | 70.00 | 100.00 | **87.18** | |
| | [Openai/gpt-4.1-mini-2025-04-14](https://openai.com/index/gpt-4-1/) | 100.00 | 100.00 | 100.00 | 92.73 | 91.82 | 100.00 | 84.55 | 100.00 | 100.00 | 100.00 | **96.91** | |
