gemma-1.1-2b-it-GPTQ
| Property | Value |
|---|---|
| Parameter Count | 1.32B |
| Model Type | Text Generation / Conversational |
| License | Gemma License |
| Quantization | GPTQ 4-bit |
What is gemma-1.1-2b-it-GPTQ?
gemma-1.1-2b-it-GPTQ is a quantized version of Google's Gemma 1.1 2B instruction-tuned language model, optimized for efficient deployment while maintaining performance. This model represents an update over the original Gemma release, featuring improved quality, coding capabilities, factuality, and instruction following through novel RLHF training methods.
Implementation Details
The model utilizes GPTQ quantization to reduce the model size while preserving performance, making it more accessible for deployment on resources-constrained environments. It supports multiple precision options and can be run on both CPU and GPU configurations.
- 4-bit quantization for efficient deployment
- Supports both CPU and GPU inference
- Compatible with Flash Attention 2 for optimization
- Implements chat template for conversation
Core Capabilities
- Text generation and completion
- Question answering
- Code generation
- Summarization
- Multi-turn conversations
Frequently Asked Questions
Q: What makes this model unique?
This model combines Google's advanced Gemma architecture with GPTQ quantization, offering a balance between performance and efficiency. It features improved instruction following and reduced tendency to start responses with "Sure," compared to its predecessors.
Q: What are the recommended use cases?
The model is well-suited for applications requiring efficient deployment such as chatbots, code assistance, content generation, and general text processing tasks where computational resources are limited.
