Model Overview

Junx-Axum/axum-architect-v2 is an instruction-tuned language model developed by Junx-Axum. It is built upon the unsloth/qwen2.5-coder-3b-instruct-bnb-4bit base model, indicating a foundation optimized for coding-related tasks, which has then been adapted for broader conversational use.

Training Details

This model underwent Supervised Fine-Tuning (SFT) using the TRL library. The training process leveraged specific versions of key frameworks:

• TRL: 0.24.0
• Transformers: 5.3.0
• Pytorch: 2.10.0
• Datasets: 4.3.0
• Tokenizers: 0.22.2

Key Capabilities

• Instruction Following: Designed to generate responses based on explicit user instructions.
• General Text Generation: Capable of producing coherent and contextually appropriate text for various prompts.
• Conversational AI: Suitable for interactive dialogue and question-answering scenarios.

Good For

• Prototyping conversational agents: Its instruction-following nature makes it a good candidate for initial development.
• Generating creative text: Can be used for open-ended text generation tasks.
• Educational applications: Useful for demonstrating language model capabilities in a controlled environment.