Raghav Singhal

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upvoted a paper about 1 month ago

The Collaboration Gap

Paper • 2511.02687 • Published Nov 4 • 21

liked a Space about 1 month ago

Running on CPU Upgrade

Featured

2.58k

The Smol Training Playbook

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2.58k

The secrets to building world-class LLMs

upvoted a collection 3 months ago

Apertus LLM

Collection

Democratizing Open and Compliant LLMs for Global Language Environments: 8B and 70B open-data open-weights models, multilingual in >1000 languages • 4 items • Updated Oct 1 • 308

liked 4 models 3 months ago

swiss-ai/Apertus-70B-Instruct-2509

Text Generation • 71B • Updated 27 days ago • 23.6k • • 178

swiss-ai/Apertus-70B-2509

Text Generation • 71B • Updated Oct 3 • 3.47k • 136

swiss-ai/Apertus-8B-Instruct-2509

Text Generation • 8B • Updated 27 days ago • 390k • • 408

swiss-ai/Apertus-8B-2509

Text Generation • 8B • Updated Oct 1 • 8.28k • 140

upvoted an article 4 months ago

view article

Article

SmolLM3: smol, multilingual, long-context reasoner

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• +21

Jul 8

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735

updated a collection 6 months ago

safety-subspaces

Collection

https://arxiv.org/abs/2505.14185 • 2 items • Updated Jun 11

updated a model 6 months ago

Raghav-Singhal/Llama-2-7b-chat-hf-arithmetic-full-harmful-20250511

7B • Updated Jun 11 • 7

published a model 6 months ago

Raghav-Singhal/Llama-2-7b-chat-hf-arithmetic-full-harmful-20250511

7B • Updated Jun 11 • 7

updated a model 6 months ago

Raghav-Singhal/Llama-3.2-3B-Instruct-arithmetic-full

3B • Updated Jun 11 • 8

published a model 6 months ago

Raghav-Singhal/Llama-3.2-3B-Instruct-arithmetic-full

3B • Updated Jun 11 • 8

upvoted 5 papers 6 months ago

Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification

Paper • 2409.17777 • Published Sep 26, 2024 • 1

Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning

Paper • 2502.15436 • Published Feb 21 • 1

Regularization-based Framework for Quantization-, Fault- and Variability-Aware Training

Paper • 2503.01297 • Published Mar 3 • 1

Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning

Paper • 2411.19557 • Published Nov 29, 2024 • 1

FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

Paper • 2410.09432 • Published Oct 12, 2024 • 1

upvoted a paper 7 months ago

ABBA: Highly Expressive Hadamard Product Adaptation for Large Language Models

Paper • 2505.14238 • Published May 20 • 4