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gemma-2-9b-nf4
StoyanGanchev/gemma-2-9b-nf4
gemma-2-9b-nf4 is a text generation model from StoyanGanchev. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gemma.
This repository contains a 4-bit quantized version of the Gemma-2-9B model. Designed to minimize memory consumption and speed up inference.
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Model card
From the Hugging Face model README
Gemma-2-9B quantized in NormalFloat4
Description
This repository contains a 4-bit quantized version of the Gemma-2-9B model. Designed to minimize memory consumption and speed up inference.
Benchmark results
| Gemma-2-9b | Wiki | C4 | PIQA | ARC-E | ARC-C | HellaSwag | Wino | Avg. |
|---|---|---|---|---|---|---|---|---|
| 0-shot | 0-shot | 0-shot | 0-shot | 25-shot | 0-shot | 0-shot | ||
| Unquantized | 6.88 | 10.12 | 81.39 | 87.25 | 64.33 | 61.27 | 74.11 | 73.67 |
| NF4 | 7.05 | 11.04 | 81.45 | 86.78 | 64.62 | 60.87 | 74.51 | 73.65 |
Benchmark scores are computed with lm-evaluation-harness.
How to use:
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("StoyanGanchev/gemma-2-9b-nf4")
model = AutoModelForCausalLM.from_pretrained("StoyanGanchev/gemma-2-9b-nf4")
All files could be accesed on repository
- Task
- Text Generation
- Library
- transformers
- Type
- gemma2
- License
- gemma
- Created
- Aug 2, 2024
- Updated
- Aug 2, 2024