anndygarcia/trade-llm-finetuned
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 3, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The anndygarcia/trade-llm-finetuned is an 8 billion parameter Llama 3.1 instruction-tuned causal language model developed by anndygarcia. Finetuned using Unsloth and Huggingface's TRL library, this model was trained 2x faster than standard methods. It is optimized for general instruction-following tasks, leveraging its Llama 3.1 base and efficient finetuning process.
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Model Overview
The anndygarcia/trade-llm-finetuned is an 8 billion parameter instruction-tuned language model developed by anndygarcia. It is finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit base model, leveraging the Llama 3.1 architecture.
Key Characteristics
- Efficient Finetuning: This model was trained using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to conventional methods.
- Llama 3.1 Base: Built upon the robust Meta-Llama-3.1-8B-Instruct architecture, it inherits strong general-purpose language understanding and generation capabilities.
- Instruction-Tuned: Designed to follow instructions effectively, making it suitable for a wide range of conversational and task-oriented applications.
Potential Use Cases
- General Instruction Following: Ideal for tasks requiring the model to understand and execute specific commands or prompts.
- Conversational AI: Can be integrated into chatbots or virtual assistants for engaging in dialogue.
- Text Generation: Capable of generating coherent and contextually relevant text based on given instructions.