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Efficient quantization model

# Efficient quantization model

Gama 12b I1 GGUF
A quantized version of Gama-12B, providing files of various quantization types, suitable for text generation tasks and supporting English and Portuguese.
Large Language Model Transformers Supports Multiple Languages
G
mradermacher
559
1
Medra27b GGUF
Apache-2.0
The Medra27B Quantized Model is the result of static quantization based on the nicoboss/Medra27B base model. It is suitable for tasks such as text generation, summary generation, and diagnostic reasoning in the medical field.
Large Language Model Transformers Supports Multiple Languages
M
mradermacher
235
0
Pythia 70m Wikipedia Paragraphs I1 GGUF
Apache-2.0
This is a quantized version based on the Pythia-70m model, specifically optimized for Wikipedia paragraph data, offering multiple quantization types to meet different resource requirements.
Large Language Model Transformers English
P
mradermacher
823
1
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