Raghav Singhal

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upvoted a paper 5 days ago

The Collaboration Gap

Paper • 2511.02687 • Published 6 days ago • 20

liked a Space 10 days ago

Running on CPU Upgrade

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The Smol Training Playbook: The Secrets to Building World-Class LLMs

📝

Explore loss curves for training LLMs

upvoted a collection 2 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 • 298

liked 4 models 2 months ago

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

Text Generation • 71B • Updated Oct 1 • 7.48k • • 175

swiss-ai/Apertus-70B-2509

Text Generation • 71B • Updated Oct 3 • 3.52k • 133

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

Text Generation • 8B • Updated Oct 1 • 368k • • 389

swiss-ai/Apertus-8B-2509

Text Generation • 8B • Updated Oct 1 • 18.1k • 137

upvoted an article 3 months ago

view article

Article

SmolLM3: smol, multilingual, long-context reasoner

Jul 8

• 718

updated a collection 5 months ago

safety-subspaces

Collection

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

updated a model 5 months ago

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

7B • Updated Jun 11 • 2

published a model 5 months ago

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

7B • Updated Jun 11 • 2

updated a model 5 months ago

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

3B • Updated Jun 11 • 1

published a model 5 months ago

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

3B • Updated Jun 11 • 1

upvoted 5 papers 5 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 6 months ago

ABBA: Highly Expressive Hadamard Product Adaptation for Large Language Models

Paper • 2505.14238 • Published May 20 • 4