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Model: AhiskaAI/AhiskaAI-134m-Instruct-v0.2
Source: Original Platform

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+language:
+- tr
+pipeline_tag: text-generation
+tags:
+- gpt2
+- slm
+- base-model
+- causal-lm
+- pre-trained
+- tr-llm
+- Ahıska
+- AhiskaTurks
+- MeskhetianTurks
+- AhıskaTürkleri
+library_name: transformers
+---
+
+# AhiskaAI-134m-IT-v0.2
+
+AhiskaAI-134m-IT-v0.2 is the instruction-tuned version of our 134M parameter Small Language Model. This model has been fine-tuned on 16,000+ high-quality, curated Turkish instruction-response pairs to function as a helpful and conversational AI assistant.
+
+**Base Model:** [AhiskaAI-134m-Base-v0.2](https://huggingface.co/AhiskaAI/AhiskaAI-134m-Base-v0.2)
+
+## Model Details
+- **Architecture:** Llama-based architecture.
+- **Fine-tuning:** Supervised Fine-Tuning (SFT) on 16k+ instruction pairs.
+- **Format:** ChatML.
+- **Parameters:** 134M.
+- **Hardware:** Trained on NVIDIA RTX 4050 Laptop GPU.
+
+## Training Logs 
+![Training Loss](training_loss.png)
+
+## Usage (ChatML Format)
+This model is optimized for chat interactions. Please use the following ChatML structure for best results:
+
+## Recommended System Prompt
+To get the best performance, use the following system prompt:
+"Sen kibar, sorulan soruları tam cümlelerle yanıtlayan Türkçe bir asistansın."
+
+## Example Usage
+```
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("AhiskaAI/AhiskaAI-134m-IT-v0.2")
+tokenizer = AutoTokenizer.from_pretrained("AhiskaAI/AhiskaAI-134m-IT-v0.2")
+
+SYSTEM_PROMPT = "Sen kibar, sorulan soruları tam cümlelerle yanıtlayan Türkçe bir asistansın."
+user_query = "Ahıska Türkleri hakkında bilgi verir misin?"
+
+prompt = (
+    f"<|im_start|>system\n{SYSTEM_PROMPT}<|im_end|>\n"
+    f"<|im_start|>user\n{user_query}<|im_end|>\n"
+    f"<|im_start|>assistant\n"
+)
+
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=200)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```