Trendyol-LLM-7b-chat-v0.1
| Property | Value |
|---|---|
| Parameter Count | 6.84B |
| Model Type | Text Generation (Chat) |
| Languages | Turkish, English |
| License | Apache 2.0 |
| Architecture | LLaMA2-based with LoRA |
What is Trendyol-LLM-7b-chat-v0.1?
Trendyol-LLM-7b-chat-v0.1 is an advanced language model based on LLaMA2, specifically optimized for Turkish and English language processing. The model represents a significant achievement in bilingual AI capabilities, featuring fine-tuning on 180,000 instruction sets using LoRA (Low-Rank Adaptation) methodology.
Implementation Details
The model employs an optimized transformer architecture with specific LoRA configurations including a learning rate of 1e-4, LoRA rank of 64, and alpha of 128. The implementation supports both traditional text generation and conversational pipelines, making it versatile for various applications.
- Maximum sequence length of 1024 tokens
- FP16 precision support
- Comprehensive LoRA trainable parameters including q_proj, v_proj, k_proj, and others
- Optimized dropout rate of 0.05
Core Capabilities
- Bilingual text generation in Turkish and English
- Conversational AI support with system prompts
- Context-aware response generation
- Flexible deployment options with 8-bit quantization support
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its specialized optimization for both Turkish and English languages, combined with its efficient LoRA-based fine-tuning architecture. This makes it particularly valuable for applications requiring bilingual capabilities.
Q: What are the recommended use cases?
The model is well-suited for conversational AI applications, text generation tasks, and bilingual content processing. However, users should note the model's limitations regarding potential biases and the need for human oversight in production environments.
