lakshyaixi/Llama_3_2_3B_Conversational_v5_SFT_10voicebot_disconnect_fixed_9april
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:Apr 9, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The lakshyaixi/Llama_3_2_3B_Conversational_v5_SFT_10voicebot_disconnect_fixed_9april is a 3.2 billion parameter Llama 3.2-based conversational model developed by lakshyaixi. Fine-tuned from unsloth/Llama-3.2-3B-Instruct, it leverages Unsloth and Huggingface's TRL library for faster training. This model is designed for conversational AI applications, offering a compact yet capable solution for interactive text generation.
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Model Overview
This model, developed by lakshyaixi, is a fine-tuned version of the unsloth/Llama-3.2-3B-Instruct architecture. It features 3.2 billion parameters and was trained using Unsloth, which facilitated a 2x faster training process, in conjunction with Huggingface's TRL library.
Key Capabilities
- Conversational AI: Optimized for generating human-like responses in dialogue systems.
- Efficient Performance: Benefits from Unsloth's accelerated training, suggesting potential for efficient inference given its compact size.
- Llama 3.2 Base: Built upon the Llama 3.2 foundation, inheriting its general language understanding and generation capabilities.
Good For
- Voicebot Applications: The model's name suggests specific fine-tuning for voicebot scenarios, potentially addressing issues like disconnects.
- Interactive Chatbots: Suitable for integration into chatbots requiring responsive and coherent conversational flows.
- Resource-Constrained Environments: Its 3.2 billion parameter count makes it a viable option for deployments where larger models are impractical.