AlexBefest/CardProjector-27B-v4
Text Generation
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Updated
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44
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Bend Ed
melekuk
AI & ML interests
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Recent Activity
new activity
about 4 hours ago
Skywork/Skywork-OR1-32B-Preview:Thinking in LM Studio
new activity
about 4 hours ago
ds4sd/SmolDocling-256M-preview:Relicensing issues
new activity
about 5 hours ago
AlexBefest/CardProjector-27B-v4:Smaller version?
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melekuk's activity
Thinking in LM Studio
4
#1 opened 2 days ago
by
urtuuuu
Relicensing issues
1
1
#37 opened 10 days ago
by
JLouisBiz
Smaller version?
1
#1 opened about 5 hours ago
by
melekuk
liked
a
model
2 days ago
liked
a
model
5 days ago
DOA
1
15
#1 opened 10 days ago
by
MrDevolver
liked
a
model
20 days ago
liked
2
models
24 days ago
liked
a
model
25 days ago
reacted to
Jaward's
post with 👀
26 days ago
Post
1760
Finally, the ground truth / AlexNet’s original source code is available to all.
Context: AlexNet had a historic win in the 2012 ImageNet Large Scale Visual Recognition Challenge (ILSVRC), reducing error rate from 26% (previous best) to 15.3%. It’s a deep CNN with 8 layers (5 convolutional + 3 fully connected), pioneering the use of ReLU activations for faster training, dropout for regularization, and GPU acceleration for large-scale learning. This moment marked the beginning of the deep learning revolution, inspiring architectures like VGG, ResNet, and modern transformers.
Code: https://github.com/computerhistory/AlexNet-Source-Code
Context: AlexNet had a historic win in the 2012 ImageNet Large Scale Visual Recognition Challenge (ILSVRC), reducing error rate from 26% (previous best) to 15.3%. It’s a deep CNN with 8 layers (5 convolutional + 3 fully connected), pioneering the use of ReLU activations for faster training, dropout for regularization, and GPU acceleration for large-scale learning. This moment marked the beginning of the deep learning revolution, inspiring architectures like VGG, ResNet, and modern transformers.
Code: https://github.com/computerhistory/AlexNet-Source-Code
reacted to
v2ray's
post with 👍
26 days ago
Post
2212
GPT4chan Series Release
GPT4chan is a series of models I trained on v2ray/4chan dataset, which is based on lesserfield/4chan-datasets. The dataset contains mostly posts from 2023. Not every board is included, for example, /pol/ is NOT included. To see which boards are included, visit v2ray/4chan.
This release contains 2 models sizes, 8B and 24B. The 8B model is based on meta-llama/Llama-3.1-8B and the 24B model is based on mistralai/Mistral-Small-24B-Base-2501.
Why I made these models? Because for a long time after the original gpt-4chan model, there aren't any serious fine-tunes on 4chan datasets. 4chan is a good data source since it contains coherent replies and nice topics. It's fun to talk to an AI generated version of 4chan and get instant replies, and without the need to actually visit 4chan. You can also sort of analyze the content and behavior of 4chan posts by probing the model's outputs.
Disclaimer: The GPT4chan models should only be used for research purposes, the outputs they generated do not represent the view of me on the subjects. Moderate the responses before sending it online.
Model links:
Full model:
- v2ray/GPT4chan-8B
- v2ray/GPT4chan-24B
Adapter:
- v2ray/GPT4chan-8B-QLoRA
- v2ray/GPT4chan-24B-QLoRA
AWQ:
- v2ray/GPT4chan-8B-AWQ
- v2ray/GPT4chan-24B-AWQ
FP8:
- v2ray/GPT4chan-8B-FP8
GPT4chan is a series of models I trained on v2ray/4chan dataset, which is based on lesserfield/4chan-datasets. The dataset contains mostly posts from 2023. Not every board is included, for example, /pol/ is NOT included. To see which boards are included, visit v2ray/4chan.
This release contains 2 models sizes, 8B and 24B. The 8B model is based on meta-llama/Llama-3.1-8B and the 24B model is based on mistralai/Mistral-Small-24B-Base-2501.
Why I made these models? Because for a long time after the original gpt-4chan model, there aren't any serious fine-tunes on 4chan datasets. 4chan is a good data source since it contains coherent replies and nice topics. It's fun to talk to an AI generated version of 4chan and get instant replies, and without the need to actually visit 4chan. You can also sort of analyze the content and behavior of 4chan posts by probing the model's outputs.
Disclaimer: The GPT4chan models should only be used for research purposes, the outputs they generated do not represent the view of me on the subjects. Moderate the responses before sending it online.
Model links:
Full model:
- v2ray/GPT4chan-8B
- v2ray/GPT4chan-24B
Adapter:
- v2ray/GPT4chan-8B-QLoRA
- v2ray/GPT4chan-24B-QLoRA
AWQ:
- v2ray/GPT4chan-8B-AWQ
- v2ray/GPT4chan-24B-AWQ
FP8:
- v2ray/GPT4chan-8B-FP8
liked
a
model
about 1 month ago
disable thinking for some requests
4
#1 opened about 1 month ago
by
devops724
Too many "cross-validate" and "another method"
4
2
#43 opened about 1 month ago
by
AaronFeng753
liked
a
model
about 1 month ago
Implement other approach that optillm supported?
2
#5 opened about 1 month ago
by
melekuk
liked
a
model
about 1 month ago
upvoted
a
paper
about 1 month ago