Trendyol-LLM-7b-chat-v0.1
Maintainer: Trendyol
105
⚙️
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
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.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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