Gemma-2-2b-Instruct-GGUF Introduction
Gemma 2 Instruct is the latest addition to Google's Gemma family of lightweight, state-of-the-art open models. Built on Gemini technology, this 2 billion parameter model excels at various text generation tasks while being compact enough for edge and low-power computing environments.
Key Features
- Based on Gemini technology
- 2 billion parameters
- Trained on 2 trillion tokens of web documents, code, and mathematics
- Suitable for edge devices and low-power compute
- Versatile for text generation, coding, and mathematical tasks
- Retains the large vocabulary from Gemma 1.1 for enhanced multilingual and coding capabilities
Applications
Gemma 2 Instruct is designed for a wide range of applications, including:
- Content creation
- Chatbots and conversational AI
- Text summarization
- Code generation
- Mathematical problem-solving
For more details check out their blog post here: https://developers.googleblog.com/en/smaller-safer-more-transparent-advancing-responsible-ai-with-gemma/
Quantized GGUF Models Benchmark
| Name | Quant method | Bits | Size | Use Cases |
|---|---|---|---|---|
| gemma-2-2b-it-Q2_K.gguf | Q2_K | 2 | 1.23 GB | fast but high loss, not recommended |
| gemma-2-2b-it-Q3_K_S.gguf | Q3_K_S | 3 | 1.36 GB | extremely not recommended |
| gemma-2-2b-it-Q3_K_M.gguf | Q3_K_M | 3 | 1.46 GB | moderate loss, not very recommended |
| gemma-2-2b-it-Q3_K_L.gguf | Q3_K_L | 3 | 1.55 GB | not very recommended |
| gemma-2-2b-it-Q4_0.gguf | Q4_0 | 4 | 1.63 GB | moderate speed, recommended |
| gemma-2-2b-it-Q4_1.gguf | Q4_1 | 4 | 1.76 GB | moderate speed, recommended |
| gemma-2-2b-it-Q4_K_S.gguf | Q4_K_S | 4 | 1.64 GB | fast and accurate, very recommended |
| gemma-2-2b-it-Q4_K_M.gguf | Q4_K_M | 4 | 1.71 GB | fast, recommended |
| gemma-2-2b-it-Q5_0.gguf | Q5_0 | 5 | 1.88 GB | fast, recommended |
| gemma-2-2b-it-Q5_1.gguf | Q5_1 | 5 | 2.01 GB | very big, prefer Q4 |
| gemma-2-2b-it-Q5_K_S.gguf | Q5_K_S | 5 | 1.88 GB | big, recommended |
| gemma-2-2b-it-Q5_K_M.gguf | Q5_K_M | 5 | 1.92 GB | big, recommended |
| gemma-2-2b-it-Q6_K.gguf | Q6_K | 6 | 2.15 GB | very big, not very recommended |
| gemma-2-2b-it-Q8_0.gguf | Q8_0 | 8 | 2.78 GB | very big, not very recommended |
| gemma-2-2b-it-F16.gguf | F16 | 16 | 5.24 GB | extremely big |
Quantized with llama.cpp
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