amenur (Aramis)

upvoted an article 3 months ago

Article

Welcome Llama 4 Maverick & Scout on Hugging Face!

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and 6 others •

Apr 5

• 145

upvoted an article 4 months ago

Article

Open R1: Update #3

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and 9 others •

Mar 11

• 295

upvoted 5 articles 5 months ago

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SmolVLM2: Bringing Video Understanding to Every Device

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and 6 others •

Feb 20

• 283

Article

Open R1: Update #2

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and 6 others •

Feb 10

• 216

Article

SigLIP 2: A better multilingual vision language encoder

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and 2 others •

Feb 21

• 174

Article

Open-source DeepResearch – Freeing our search agents

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and 4 others •

Feb 4

• 1.27k

Article

Introducing smolagents: simple agents that write actions in code.

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and 2 others •

Dec 31, 2024

• 1.08k

upvoted 3 articles 6 months ago

Article

Open-R1: Update #1

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and 7 others •

Feb 2

• 305

Article

Open-R1: a fully open reproduction of DeepSeek-R1

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and 2 others •

Jan 28

• 876

Article

Superposition in Transformers: A Novel Way of Building Mixture of Experts

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•

Jan 4

• 14

upvoted a paper 7 months ago

Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 369

upvoted a collection 7 months ago

Scaling Test-Time Compute with Open Models

Collection

Models and datasets used in our blog post: https://huggingface.co/spaces/HuggingFaceH4/blogpost-scaling-test-time-compute • 10 items • Updated Jan 6 • 24

upvoted a paper 10 months ago

MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages

Paper • 2410.01036 • Published Oct 1, 2024 • 16

upvoted an article 10 months ago

Article

Llama can now see and run on your device - welcome Llama 3.2

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and 6 others •

Sep 25, 2024

• 190

upvoted a collection 10 months ago

Moshi v0.1 Release

Collection

MLX, Candle & PyTorch model checkpoints released as part of the Moshi release from Kyutai. Run inference via: https://github.com/kyutai-labs/moshi • 15 items • Updated Apr 18 • 234

upvoted 2 articles 10 months ago

Article

Fine-tuning LLMs to 1.58bit: extreme quantization made easy

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and 5 others •

Sep 18, 2024

• 261

Article

Scaling robotics datasets with video encoding

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and 2 others •

Aug 27, 2024

• 40

upvoted 2 articles 12 months ago

Article

Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth

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•

Jul 29, 2024

• 348

Article

Memory-efficient Diffusion Transformers with Quanto and Diffusers

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and 1 other •

Jul 30, 2024

• 66

upvoted a paper about 1 year ago

TextGrad: Automatic "Differentiation" via Text

Paper • 2406.07496 • Published Jun 11, 2024 • 32

Aramis

AI & ML interests

Organizations

Welcome Llama 4 Maverick & Scout on Hugging Face!

Open R1: Update #3

SmolVLM2: Bringing Video Understanding to Every Device

Open R1: Update #2

SigLIP 2: A better multilingual vision language encoder

Open-source DeepResearch – Freeing our search agents

Introducing smolagents: simple agents that write actions in code.

Open-R1: Update #1

Open-R1: a fully open reproduction of DeepSeek-R1

Superposition in Transformers: A Novel Way of Building Mixture of Experts

Qwen2.5 Technical Report

Scaling Test-Time Compute with Open Models

MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages

Llama can now see and run on your device - welcome Llama 3.2

Moshi v0.1 Release

Fine-tuning LLMs to 1.58bit: extreme quantization made easy

Scaling robotics datasets with video encoding

Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth

Memory-efficient Diffusion Transformers with Quanto and Diffusers

TextGrad: Automatic "Differentiation" via Text

Aramis

AI & ML interests

Organizations

amenur's activity

Welcome Llama 4 Maverick & Scout on Hugging Face!

Open R1: Update #3

SmolVLM2: Bringing Video Understanding to Every Device

Open R1: Update #2

SigLIP 2: A better multilingual vision language encoder

Open-source DeepResearch – Freeing our search agents

Introducing smolagents: simple agents that write actions in code.

Open-R1: Update #1

Open-R1: a fully open reproduction of DeepSeek-R1

Superposition in Transformers: A Novel Way of Building Mixture of Experts

Llama can now see and run on your device - welcome Llama 3.2

Fine-tuning LLMs to 1.58bit: extreme quantization made easy

Scaling robotics datasets with video encoding

Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth

Memory-efficient Diffusion Transformers with Quanto and Diffusers