Trendyol/Llama-3-Trendyol-LLM-8b-chat-v2.0

Hugging Face
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jun 25, 2024License:llama3Architecture:Transformer0.0K Featherless Exclusive Warm

Trendyol/Llama-3-Trendyol-LLM-8b-chat-v2.0 is an 8 billion parameter generative chat model developed by Trendyol, based on a continued pretraining of Llama-3 8B on 13 billion tokens. This model is designed for conversational AI, primarily in Turkish and standard English, and functions as an autoregressive language model predicting the next token in a text string. It is optimized for chat applications, providing helpful responses to user instructions.

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Trendyol LLM v2.0 Overview

Trendyol LLM v2.0 is an 8 billion parameter generative chat model, developed by Trendyol. It is built upon a base model that underwent continued pretraining from Llama-3 8B, utilizing an additional 13 billion tokens. This model is specifically designed for chat-based interactions, aiming to provide helpful and relevant responses based on user prompts.

Key Capabilities & Characteristics

  • Architecture: Based on the Llama-3 8B model, with further pretraining by Trendyol.
  • Primary Function: An autoregressive language model focused on predicting the next token for text generation.
  • Language Support: Primarily trained for standard English and Turkish, with potential limitations in slang or informal language.
  • Context Length: Supports an 8192-token context window.

Limitations and Ethical Considerations

Users should be aware that Trendyol LLM v2.0 has not undergone extensive real-world application testing, and its reliability across diverse scenarios is largely unverified. The model may generate inaccurate or misleading information and can reflect biases present in its training data. There is a risk of generating harmful or offensive content, and human oversight, application-specific testing, and responsible deployment are strongly recommended to mitigate these risks.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
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