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29681 AI models · 198875 quantization formats tracked
V
Vimalnar
2 models
aware-ai-1st
Unknown
8K ctx
FP16
0GB file
2
GB
aware-ai-2nd
Unknown
8K ctx
Q4_K_M
0GB file
2
GB
Q8_0
0GB file
2
GB
V
Vinay Hajare
3 models
Llama-3.2-1B-Instruct-Q4_K_M-GGUF
1B
8K ctx
Q4_0
0.56GB file
2.58
GB
FP16
2GB file
4.02
GB
Meta-Llama-3-8B-Instruct-GGUF-v2
8B
8K ctx
Q6_K
6.5GB file
8.63
GB
Meta-Llama3-70B-Instruct-v2-GGUF
70B
8K ctx
Q6_K
56.88GB file
60.03
GB
V
Vincent Fan
2 models
Llama-2-7b-hf-Q4_K_S-GGUF
7B
8K ctx
Q4_0
3.94GB file
6.05
GB
FP16
14GB file
16.11
GB
Llama-3.2-1B-Q4_0-GGUF
1B
8K ctx
Q4_0
0.56GB file
2.58
GB
V
Vincent From Alpscale
1 models
BaumitBaseModel
8B
8K ctx
FP16
16GB file
18.13
GB
V
Vincent507Cpu
1 models
Llama-2-7B-32K-Instruct-GGUF
7B
8K ctx
Q4_0
3.94GB file
6.05
GB
V
Vinhnguyenxu
1 models
OpenR1-Distill-Qwen3-8B-Medical
8B
8K ctx
FP16
16GB file
18.13
GB
V
Vinhnx90
2 models
Meta-Llama-3-8B-Q8_0-GGUF
8B
8K ctx
Q8_0
8.5GB file
10.63
GB
Phi-3-mini-128k-instruct-Q8_0-GGUF
0B
8K ctx
Q8_0
0GB file
2
GB
V
Vinimuchulski
1 models
gemma-3-1b-it-qat-q4_0-gguf
1B
8K ctx
Q4_0
0.56GB file
2.58
GB
V
Vininhosts
1 models
gemma3-12b-engineering-GGUF
12B
8K ctx
Q4_K_M
6.75GB file
8.95
GB
V
Vinod Halaharvi
1 models
ascii-to-go-coder
7B
8K ctx
Q4_K_M
3.94GB file
6.05
GB
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