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RichardErkhov/1024m_-_GEMMA2-27B-NLI-16bit-gguf
1024m_-_GEMMA2-27B-NLI-16bit-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
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.gguf361 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
GEMMA2-27B-NLI-16bit - GGUF
| Name | Quant method | Size |
|---|---|---|
| GEMMA2-27B-NLI-16bit.Q2_K.gguf | Q2_K | 9.73GB |
| GEMMA2-27B-NLI-16bit.IQ3_XS.gguf | IQ3_XS | 10.76GB |
| GEMMA2-27B-NLI-16bit.IQ3_S.gguf | IQ3_S | 11.33GB |
| GEMMA2-27B-NLI-16bit.Q3_K_S.gguf | Q3_K_S | 11.33GB |
| GEMMA2-27B-NLI-16bit.IQ3_M.gguf | IQ3_M | 11.6GB |
| GEMMA2-27B-NLI-16bit.Q3_K.gguf | Q3_K | 12.5GB |
| GEMMA2-27B-NLI-16bit.Q3_K_M.gguf | Q3_K_M | 12.5GB |
| GEMMA2-27B-NLI-16bit.Q3_K_L.gguf | Q3_K_L | 13.52GB |
| GEMMA2-27B-NLI-16bit.IQ4_XS.gguf | IQ4_XS | 13.92GB |
| GEMMA2-27B-NLI-16bit.Q4_0.gguf | Q4_0 | 14.56GB |
| GEMMA2-27B-NLI-16bit.IQ4_NL.gguf | IQ4_NL | 14.65GB |
| GEMMA2-27B-NLI-16bit.Q4_K_S.gguf | Q4_K_S | 14.66GB |
| GEMMA2-27B-NLI-16bit.Q4_K.gguf | Q4_K | 15.5GB |
| GEMMA2-27B-NLI-16bit.Q4_K_M.gguf | Q4_K_M | 15.5GB |
| GEMMA2-27B-NLI-16bit.Q4_1.gguf | Q4_1 | 16.07GB |
| GEMMA2-27B-NLI-16bit.Q5_0.gguf | Q5_0 | 17.59GB |
| GEMMA2-27B-NLI-16bit.Q5_K_S.gguf | Q5_K_S | 17.59GB |
| GEMMA2-27B-NLI-16bit.Q5_K.gguf | Q5_K | 18.08GB |
| GEMMA2-27B-NLI-16bit.Q5_K_M.gguf | Q5_K_M | 18.08GB |
| GEMMA2-27B-NLI-16bit.Q5_1.gguf | Q5_1 | 19.1GB |
| GEMMA2-27B-NLI-16bit.Q6_K.gguf | Q6_K | 20.81GB |
| GEMMA2-27B-NLI-16bit.Q8_0.gguf | Q8_0 | 26.95GB |
base_model: unsloth/gemma-2-27b-bnb-4bit language:
This gemma2 model was trained 2x faster with Unsloth and Huggingface's TRL library.