Article
Diego Carpintero
dcarpintero
AI & ML interests
AI Engineering
Recent Activity
published an article about 2 hours ago
The Zero-Trust Gap in LLMs, How Encoders Can Protect Your AI updated a Space 29 days ago
dcarpintero/pangolin liked a model about 1 month ago
facebook/sam3Organizations
LLMs
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meta-llama/Llama-3.1-8B-Instruct
Text Generation β’ 8B β’ Updated β’ 9.31M β’ β’ 5.73k -
mistralai/Mistral-Nemo-Base-2407
12B β’ Updated β’ 56.3k β’ 342 -
allenai/OLMo-7B
Text Generation β’ Updated β’ 4.4k β’ 651 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper β’ 2412.13663 β’ Published β’ 163
SLMs
LLMs
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meta-llama/Llama-3.1-8B-Instruct
Text Generation β’ 8B β’ Updated β’ 9.31M β’ β’ 5.73k -
mistralai/Mistral-Nemo-Base-2407
12B β’ Updated β’ 56.3k β’ 342 -
allenai/OLMo-7B
Text Generation β’ Updated β’ 4.4k β’ 651 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper β’ 2412.13663 β’ Published β’ 163
spaces 6
Running
Agents
2
Pangolin
π¨
PangolinGuard Demo
Sleeping
MCP
Model Context Protocol (MCP) Server for Sentiment Analysis
π
Analyze the sentiment of your text
Sleeping
Agents
1
Interstellar - Astronomy Classifier
π»
Classify astronomical images into categories and objects
Sleeping
Agents
2
minerva
π¬
Analyze images for potential scams
Runtime error
Agents
4
Fashion Image Recognition
π
Classify clothing items from images
Sleeping
Agents
MNIST - MultilayerPerceptron
π»
models 20
dcarpintero/pangolin-guard-large
Text Classification β’ 0.4B β’ Updated β’ 631 β’ 1
dcarpintero/pangolin-guard-base
Text Classification β’ 0.1B β’ Updated β’ 257 β’ 3
dcarpintero/bert-mrpc-finetuned
Updated
dcarpintero/fashion-mnist-base
Image Classification β’ Updated
dcarpintero/digit-classifier
Updated
dcarpintero/fastai-interstellar-object
Image Classification β’ Updated
dcarpintero/fastai-interstellar-class
Image Classification β’ Updated β’ 2
dcarpintero/a2c-PandaReachDense-v2
Reinforcement Learning β’ Updated
dcarpintero/a2c-AntBulletEnv-v0
Reinforcement Learning β’ Updated β’ 2
dcarpintero/LunarLander-v2
Reinforcement Learning β’ Updated
datasets 8
dcarpintero/arxiv.cs.CL.25k
Viewer β’ Updated β’ 25.1k β’ 8 β’ 1
dcarpintero/arxiv.cs.CL.25k.embeddings.jina
Viewer β’ Updated β’ 25.1k β’ 4 β’ 1
dcarpintero/arxiv.cs.CL.25k.embeddings.mpnet
Viewer β’ Updated β’ 25.1k β’ 10
dcarpintero/arxiv.cs.CL.10k.embeddings.jina
Viewer β’ Updated β’ 10k β’ 7
dcarpintero/arxiv.cs.CL.10k.embeddings.mpnet
Viewer β’ Updated β’ 10k β’ 4
dcarpintero/arxiv.cs.CL.embedv3.clustering.medium
Viewer β’ Updated β’ 10k β’ 7
dcarpintero/arXiv.cs.AI.CL.CV.LG.MA.NE.embedv3
Viewer β’ Updated β’ 50k β’ 20
dcarpintero/arXiv.cs.CL.embedv3
Viewer β’ Updated β’ 50k β’ 8