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Model: AhiskaAI/AhiskaAI-110M-Experimental-v0.1-Base
Source: Original Platform

README.md

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+---
+language:
+- tr
+license: apache-2.0
+tags:
+- llama
+- causal-lm
+- slm
+- experimental
+- turkish
+- tr-llm
+- AhiskaAI
+datasets:
+- BILGEM-AI/BILGE-Synthetic-Math
+- BILGEM-AI/BILGE-Synthetic-Web
+- BILGEM-AI/BILGE-Synthetic-Stories
+pipeline_tag: text-generation
+---
+
+# AhıskaAI-110M-Experimental-v0.1
+
+**AhıskaAI-110M-Experimental-v0.1** is a 110M parameter Small Language Model (SLM) trained from scratch as part of the experimental release series by AhıskaAI. This series focuses on evaluating early-stage convergence and reasoning behavior on synthetic Turkish datasets (covering math, web content, and narrative stories).
+
+## Experimental Setup & Scope
+
+- **Objective:** Test synthetic data density (Math + Web + Stories) and sequence modeling performance on a compact 110M Llama architecture.
+- **Training Epochs:** Pre-trained for **0.3 epochs** across a ~3.5 GB synthetic Turkish corpus.
+- **Context Length:** 1024 tokens.
+
+## Model Details
+
+- **Architecture:** `LlamaForCausalLM` (Standard MHA)
+- **Parameters:** ~110M
+- **Hidden Size:** 768
+- **Intermediate Size:** 2048
+- **Attention Heads:** 12 (Query) / 12 (Key/Value)
+- **Layers:** 12
+- **Context Length:** 1024 tokens
+- **Vocabulary Size:** 32,000
+- **Precision:** `float32` / `float16`
+
+## Pre-training Dataset Mixture
+
+The model was pre-trained on a synthetic Turkish corpus (~3.5 GB total):
+
+| Data Source | Approx. Size | Primary Focus | Link |
+| :--- | :--- | :--- | :--- |
+| **BILGEM AI Synthetic Web** | ~2.0 GB | General Web, Knowledge & Grammar | [BILGEM-AI/BILGE-Synthetic-Web](https://huggingface.co/datasets/BILGEM-AI/BILGE-Synthetic-Web) |
+| **BILGEM AI Synthetic Math** | ~750 MB | Mathematical Reasoning & Logic | [BILGEM-AI/BILGE-Synthetic-Math](https://huggingface.co/datasets/BILGEM-AI/BILGE-Synthetic-Math) |
+| **BILGEM AI Synthetic Stories** | ~750 MB | Narrative Flow & Text Generation | [BILGEM-AI/BILGE-Synthetic-Stories](https://huggingface.co/datasets/BILGEM-AI/BILGE-Synthetic-Stories) |
+
+## Usage
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "AhıskaAI/AhıskaAI-110M-Experimental-v0.1"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
+    device_map="auto"
+)
+
+prompt = "Bir zamanlar uzak bir ülkede"
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=100,
+    temperature=0.7,
+    top_p=0.9,
+    do_sample=True
+)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+### About AhıskaAI
+**AhıskaAI** is an independent initiative dedicated to developing efficient, high-performance Small Language Models (SLMs) tailored for the Turkish language ecosystem.