j05hr3d/Llama-3.2-3B-Instruct-C_M_T_CT_CE_CM-2EP-SEED1001
j05hr3d/Llama-3.2-3B-Instruct-C_M_T_CT_CE_CM-2EP-SEED1001 is a 3.2 billion parameter instruction-tuned causal language model, fine-tuned from meta-llama/Llama-3.2-3B-Instruct. This model was trained using SFT with the TRL framework. It is designed for general instruction-following tasks, leveraging its Llama 3.2 base for conversational applications.
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Model Overview
j05hr3d/Llama-3.2-3B-Instruct-C_M_T_CT_CE_CM-2EP-SEED1001 is an instruction-tuned language model based on the meta-llama/Llama-3.2-3B-Instruct architecture. This 3.2 billion parameter model has been fine-tuned using Supervised Fine-Tuning (SFT) with the TRL (Transformer Reinforcement Learning) framework.
Key Capabilities
- Instruction Following: Designed to respond to user prompts and follow instructions effectively.
- Conversational AI: Suitable for generating human-like text in response to a variety of questions and scenarios.
- Base Model Heritage: Benefits from the robust capabilities of the Llama 3.2 series.
Training Details
The model's training procedure involved SFT, utilizing specific versions of key frameworks:
- TRL: 0.27.1
- Transformers: 4.57.6
- Pytorch: 2.10.0+cu128
- Datasets: 4.8.4
- Tokenizers: 0.22.2
Use Cases
This model is well-suited for applications requiring a compact yet capable instruction-following LLM, such as:
- Chatbots and virtual assistants
- Content generation based on prompts
- Question answering systems
- Exploratory NLP tasks where a smaller, fine-tuned model is advantageous.