Trendyol
Models by this creator
⚙️
Trendyol-LLM-7b-chat-v0.1
105
Trendyol-LLM-7b-chat-v0.1 is a generative language model based on the LLaMa2 7B model, developed by Trendyol. It is a chat-focused model that has been fine-tuned on 180K instruction sets using Low-Rank Adaptation (LoRA) to optimize it for conversational use cases. The model was trained using techniques like supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align it with human preferences for helpfulness and safety. Compared to similar chat models like TinyLlama-1.1B-Chat-v1.0 and the Llama-2-7b-chat-hf model, the Trendyol-LLM-7b-chat-v0.1 provides a more compact 7B parameter model optimized for chat, while the others offer larger 1.1B and 7B chat models respectively. Model inputs and outputs Inputs Text**: The model takes in text as input, which can be prompts, instructions, or conversational messages. Outputs Text**: The model generates text as output, producing responses, continuations, or generated content. Capabilities The Trendyol-LLM-7b-chat-v0.1 model has been optimized for conversational use cases, and can engage in helpful and informative dialogue. It demonstrates strong performance on benchmarks testing for commonsense reasoning, world knowledge, reading comprehension, and math abilities. The model also exhibits high levels of truthfulness and low toxicity in evaluations, making it suitable for many chat-based applications. What can I use it for? The Trendyol-LLM-7b-chat-v0.1 model can be used to build chatbots, virtual assistants, and other conversational AI applications. Its capabilities make it well-suited for tasks like customer service, task planning, and open-ended discussions. Developers can leverage the model's performance and safety features to create engaging and trustworthy chat experiences for their users. Things to try Some interesting things to try with the Trendyol-LLM-7b-chat-v0.1 model include: Engaging the model in freeform conversations on a wide range of topics to explore its knowledge and reasoning abilities. Providing the model with detailed instructions or prompts to see how it can assist with task planning, information lookup, or content generation. Evaluating the model's safety and truthfulness by probing it with potentially sensitive or misleading prompts. Comparing the model's performance to other chat-focused language models to understand its relative strengths and weaknesses. By experimenting with the model's capabilities, developers can gain valuable insights into how to best leverage it for their specific use cases.
Updated 5/28/2024
🎯
Trendyol-LLM-7b-base-v0.1
50
The Trendyol-LLM-7b-base-v0.1 is a generative language model developed by Trendyol. It is based on the LLaMa2 7B model and has been fine-tuned using the LoRA method. The model comes in two variations - a base version and a chat version (Trendyol-LLM-7b-chat-v0.1). While the base version has been fine-tuned on 10 billion tokens, the chat version has been fine-tuned on 180K instruction sets to optimize it for dialogue use cases. Similarly, the Turkcell-LLM-7b-v1 model is another Turkish-focused LLM that has been trained on 5 billion tokens of cleaned Turkish data and fine-tuned using the DORA and LORA methods. Model inputs and outputs Inputs The Trendyol-LLM-7b-base-v0.1 model takes text as input. Outputs The model generates text as output. Capabilities The Trendyol-LLM-7b-base-v0.1 model is a capable language model that can be used for a variety of text generation tasks, such as summarization, question answering, and content creation. Its fine-tuning on 10 billion tokens allows it to generate high-quality, coherent text across a wide range of domains. What can I use it for? The Trendyol-LLM-7b-base-v0.1 model could be useful for projects that require Turkish language generation, such as chatbots, content creation tools, or question-answering systems. The chat version of the model (Trendyol-LLM-7b-chat-v0.1) may be particularly well-suited for building conversational AI assistants. Things to try One interesting aspect of the Trendyol-LLM-7b-base-v0.1 model is its use of the LoRA fine-tuning method, which has been shown to improve the efficiency and performance of language models. Developers could explore using LoRA for fine-tuning other language models on specific tasks or domains to see if it provides similar benefits.
Updated 9/6/2024