j05hr3d/Llama-3.2-1B-Instruct-C_M_T-SAM-AUX_CT_CE-RHO0_1
j05hr3d/Llama-3.2-1B-Instruct-C_M_T-SAM-AUX_CT_CE-RHO0_1 is a 1 billion parameter instruction-tuned causal language model, fine-tuned by j05hr3d from the meta-llama/Llama-3.2-1B-Instruct base model. This model was trained using the TRL framework and supports a context length of 32768 tokens. It is designed for general text generation tasks following instructions.
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Model Overview
This model, j05hr3d/Llama-3.2-1B-Instruct-C_M_T-SAM-AUX_CT_CE-RHO0_1, is an instruction-tuned variant of the meta-llama/Llama-3.2-1B-Instruct base model. It features 1 billion parameters and was fine-tuned by j05hr3d using the TRL (Transformer Reinforcement Learning) framework.
Key Capabilities
- Instruction Following: Designed to generate text based on user instructions.
- Text Generation: Capable of producing coherent and contextually relevant text.
- Extended Context: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and generating more extensive outputs.
Training Details
The model underwent a supervised fine-tuning (SFT) process. The training utilized 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
Good For
- General Conversational AI: Responding to prompts and engaging in dialogue.
- Instruction-based Tasks: Generating content, answering questions, or completing tasks as specified by instructions.
- Prototyping: Suitable for developers looking for a smaller, instruction-tuned model for initial experimentation or applications where computational resources are limited.