TinyDolphin-2.8-1.1b
| Property | Value |
|---|---|
| Parameter Count | 1.1B |
| Model Type | Text Generation |
| Architecture | Llama-based |
| License | Apache-2.0 |
| Tensor Type | BF16 |
What is TinyDolphin-2.8-1.1b?
TinyDolphin-2.8-1.1b is an experimental language model trained on the Dolphin 2.8 dataset, developed by Kearm using two 3090 GPUs. Based on the TinyLlama architecture, this model represents a compact yet powerful implementation that maintains compatibility with the Llama 2 ecosystem while requiring significantly fewer computational resources.
Implementation Details
The model leverages multiple high-quality datasets including cerebras/SlimPajama-627B, bigcode/starcoderdata, and teknium/openhermes. It utilizes the same architecture and tokenizer as Llama 2, ensuring plug-and-play compatibility with existing Llama-based projects.
- Optimized for 1.1B parameters
- BF16 tensor format for efficient computation
- Compatible with text-generation-inference endpoints
- Built on proven Llama architecture
Core Capabilities
- Creative writing and narrative generation
- Professional communication and letter writing
- Poetic composition and storytelling
- Task-specific instruction following
Frequently Asked Questions
Q: What makes this model unique?
This model combines the efficiency of a small parameter count (1.1B) with the sophisticated training of the Dolphin 2.8 dataset, making it ideal for applications where computational resources are limited but high-quality output is required.
Q: What are the recommended use cases?
The model excels in creative writing tasks, professional communication, and general text generation. It's particularly suitable for applications requiring a balance between performance and resource efficiency.
