A collection of MoE+MLA models, serving as testing proxies for DeepSeek-V3/R1
Thien Tran
gaunernst
AI & ML interests
None yet
Recent Activity
liked a model 11 days ago
Qwen/Qwen3.8-27B liked a model 16 days ago
meta-models/Muse-Glimmer-30B liked a model 23 days ago
MiniMaxAI/MiniMax-H3Organizations
These are converted from the official QAT INT4 Flax checkpoints on Kaggle. Supported formats: AutoAWQ, GGUF
-
gaunernst/gemma-3-1b-it-int4-awq
Text Generation • 1.0B • Updated • 4.62k • 2 -
gaunernst/gemma-3-4b-it-int4-awq
Image-Text-to-Text • 4B • Updated • 13.1k • 7 -
gaunernst/gemma-3-12b-it-int4-awq
Image-Text-to-Text • 12B • Updated • 162k • 24 -
gaunernst/gemma-3-27b-it-int4-awq
Image-Text-to-Text • 27B • Updated • 1.43M • 40
-
gaunernst/vit_small_patch8_gap_112.cosface_ms1mv3
Image Feature Extraction • 21.6M • Updated • 59 • 2 -
gaunernst/vit_tiny_patch8_112.cosface_ms1mv3
Image Feature Extraction • 5.51M • Updated • 25 • 2 -
gaunernst/vit_tiny_patch8_112.arcface_ms1mv3
Image Feature Extraction • 5.51M • Updated • 18.6k • 4 -
gaunernst/vit_tiny_patch8_112.adaface_ms1mv3
Image Feature Extraction • 5.51M • Updated • 40 • 2
-
nvidia/Llama-3.1-Minitron-4B-Width-Base
Text Generation • 5B • Updated • 5.63k • 197 -
nvidia/Llama-3.1-Minitron-4B-Depth-Base
Text Generation • 5B • Updated • 5.22k • 22 -
meta-llama/Llama-3.1-8B-Instruct
Text Generation • 8B • Updated • 6.42M • • 6.67k -
meta-llama/Llama-3.1-8B
Text Generation • 8B • Updated • 799k • • 2.38k
Convert official Gemma 3 QAT GGUF to AutoAWQ and compressed-tensors format for ease of deployment
-
gaunernst/gemma-3-1b-it-qat-autoawq
Text Generation • 1.0B • Updated • 16 -
gaunernst/gemma-3-4b-it-qat-autoawq
Image-Text-to-Text • 4B • Updated • 250 • 2 -
gaunernst/gemma-3-12b-it-qat-autoawq
Image-Text-to-Text • 12B • Updated • 669 • 7 -
gaunernst/gemma-3-27b-it-qat-autoawq
Image-Text-to-Text • 27B • Updated • 1.58k • 12
https://arxiv.org/abs/1908.08962
A collection of MoE+MLA models, serving as testing proxies for DeepSeek-V3/R1
Convert official Gemma 3 QAT GGUF to AutoAWQ and compressed-tensors format for ease of deployment
-
gaunernst/gemma-3-1b-it-qat-autoawq
Text Generation • 1.0B • Updated • 16 -
gaunernst/gemma-3-4b-it-qat-autoawq
Image-Text-to-Text • 4B • Updated • 250 • 2 -
gaunernst/gemma-3-12b-it-qat-autoawq
Image-Text-to-Text • 12B • Updated • 669 • 7 -
gaunernst/gemma-3-27b-it-qat-autoawq
Image-Text-to-Text • 27B • Updated • 1.58k • 12
These are converted from the official QAT INT4 Flax checkpoints on Kaggle. Supported formats: AutoAWQ, GGUF
-
gaunernst/gemma-3-1b-it-int4-awq
Text Generation • 1.0B • Updated • 4.62k • 2 -
gaunernst/gemma-3-4b-it-int4-awq
Image-Text-to-Text • 4B • Updated • 13.1k • 7 -
gaunernst/gemma-3-12b-it-int4-awq
Image-Text-to-Text • 12B • Updated • 162k • 24 -
gaunernst/gemma-3-27b-it-int4-awq
Image-Text-to-Text • 27B • Updated • 1.43M • 40
https://arxiv.org/abs/1908.08962
-
gaunernst/vit_small_patch8_gap_112.cosface_ms1mv3
Image Feature Extraction • 21.6M • Updated • 59 • 2 -
gaunernst/vit_tiny_patch8_112.cosface_ms1mv3
Image Feature Extraction • 5.51M • Updated • 25 • 2 -
gaunernst/vit_tiny_patch8_112.arcface_ms1mv3
Image Feature Extraction • 5.51M • Updated • 18.6k • 4 -
gaunernst/vit_tiny_patch8_112.adaface_ms1mv3
Image Feature Extraction • 5.51M • Updated • 40 • 2
-
nvidia/Llama-3.1-Minitron-4B-Width-Base
Text Generation • 5B • Updated • 5.63k • 197 -
nvidia/Llama-3.1-Minitron-4B-Depth-Base
Text Generation • 5B • Updated • 5.22k • 22 -
meta-llama/Llama-3.1-8B-Instruct
Text Generation • 8B • Updated • 6.42M • • 6.67k -
meta-llama/Llama-3.1-8B
Text Generation • 8B • Updated • 799k • • 2.38k