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SykoSLM/
SykoLLM-V2.1-Turkish-Instruct

Name: SykoLLM-V2.1-Turkish-Instruct
Rating: 2.5 (10 reviews)

text-generation-inference

endpoints_compatible

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Model Card: SykoLLM-V2.1-Turkish-Instruct

SykoLLM-V2.1-Turkish-Instruct is a custom-architected, lightweight Large Language Model (LLM) designed specifically for Turkish conversational tasks. Unlike standard pre-built models, this version features a custom configuration optimized for speed and efficiency in low-resource environments.

Model Description

Developed by: syko818121
Model Name: SykoLLM-V2.1-Turkish-Instructt
Model Type: Causal Decoder-Only Custom Architecture
Language: Turkish
Parameters: ~95.7 Million
Training Data: Turkish Wikipedia + Custom High-Quality Chat Dataset

Fine-Tuning & Conversation Style

The model was fine-tuned on a high-quality, curated Turkish dataset to ensure natural, human-like responses. The training data distribution was carefully balanced:

Greetings & Daily Talk (40%): Natural openings and casual conversation.

Direct Question-Answering (30%): Short and concise answers to general knowledge queries.

Brief Explanations (20%): Simplified definitions for complex concepts.

Slang & Short Inputs (10%): Robustness against one-word or incomplete messages.

Usage

You can load and test SykoLLM-V2.1-Turkish-Instruct using the following snippet:

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "SykoLLM-V2.1-Turkish-Instruct"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)

prompt = "<user> Selam, naber?<assistant>"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50, pad_token_id=tokenizer.eos_token_id)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Training Configuration

Learning Rate: 5e-5

Scheduler: Cosine

Limitations

Size: As a 95.7M parameter model, it is a "mini-LLM." It excels at short chats but may hallucinate on highly complex logical tasks.
Response Length: The model is intentionally biased toward concise and direct answers rather than long-form essays.

SykoSLM/SykoLLM-V2.1-Turkish-Instruct