| Property | Value |
|---|---|
| Base Model | meta-llama/Llama-3.1-8B-Instruct |
| License | MIT |
| Training Infrastructure | 8 x H100 NVL GPUs |
| Training Dataset Size | 13,000 conversation pairs |
What is Cakrawala-Llama-3.1-8B?
Cakrawala-Llama-3.1-8B is an advanced language model specifically optimized for generating rich roleplaying conversations and character interactions. Built upon the Llama-3.1-8B-Instruct architecture, this model has been fine-tuned to excel at producing detailed, contextually appropriate character dialogues with rich descriptions of physical actions, expressions, and emotional states.
Implementation Details
The model leverages QLoRA fine-tuning methodology, trained over 2 epochs with sophisticated training parameters including AdamW optimizer and Cosine scheduler. The training process utilized mixed precision (BF16 & FP16) with TF32 support, ensuring optimal performance and efficiency.
- Gradient Accumulation Steps: 1
- Micro Batch Size: 4
- Learning Rate: 0.0002
- Training Infrastructure: 8 x H100 NVL GPUs
Core Capabilities
- Generation of detailed character dialogues
- Maintaining consistent character voices and perspectives
- Rich description of facial expressions and environmental details
- Extended interaction management
- Context-aware character personality preservation
Frequently Asked Questions
Q: What makes this model unique?
The model's specialized training on 13,000 conversation pairs, each with 12-13 turns minimum, makes it particularly adept at maintaining character consistency and generating detailed interactions with rich environmental and emotional descriptions.
Q: What are the recommended use cases?
This model is specifically designed for roleplaying scenarios, character-based storytelling, and interactive narrative generation where maintaining consistent character voices and detailed interactions is crucial.