amenur (Aramis)

upvoted a collection about 20 hours ago

Moshi v0.1 Release

MLX, Candle & PyTorch model checkpoints released as part of the Moshi release from Kyutai. Run inference via: https://github.com/kyutai-labs/moshi • 13 items • Updated 1 day ago • 134

upvoted an article 1 day ago

Article

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

2 days ago

• 97

upvoted an article 11 days ago

Article

Scaling robotics datasets with video encoding

24 days ago

• 31

upvoted 2 articles about 2 months ago

Article

Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth

By

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Jul 29

• 193

Article

Memory-efficient Diffusion Transformers with Quanto and Diffusers

Jul 30

• 50

upvoted a paper 3 months ago

TextGrad: Automatic "Differentiation" via Text

Paper • 2406.07496 • Published Jun 11 • 26

upvoted an article 3 months ago

Article

Extracting Concepts from LLMs: Anthropic’s recent discoveries 📖

By

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Jun 20

• 26

upvoted 2 articles 4 months ago

Article

Uncensor any LLM with abliteration

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Jun 13

• 312

Article

License to Call: Introducing Transformers Agents 2.0

May 13

• 108

upvoted 3 articles 5 months ago

Article

makeMoE: Implement a Sparse Mixture of Experts Language Model from Scratch

By

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May 7

• 36

Article

SeeMoE: Implementing a MoE Vision Language Model from Scratch

By

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Jun 23

• 31

Article

seemore: Implement a Vision Language Model from Scratch

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Jun 23

• 56

upvoted a paper 5 months ago

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22 • 250

upvoted a paper 6 months ago

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 103

upvoted an article 6 months ago

Article

Custom architectures with HuggingFace 🤗

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Apr 22

• 21

upvoted 5 papers 6 months ago

Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs

Paper • 2403.20041 • Published Mar 29 • 34

upvoted a collection 7 months ago

Transformers compatible Mamba

Collection

This release includes the `mamba` repositories compatible with the `transformers` library • 5 items • Updated Mar 6 • 33

upvoted a paper 7 months ago

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 590

Aramis

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amenur's activity

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

Extracting Concepts from LLMs: Anthropic’s recent discoveries 📖

Uncensor any LLM with abliteration

License to Call: Introducing Transformers Agents 2.0

makeMoE: Implement a Sparse Mixture of Experts Language Model from Scratch

SeeMoE: Implementing a MoE Vision Language Model from Scratch

seemore: Implement a Vision Language Model from Scratch

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Custom architectures with HuggingFace 🤗

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

The Unreasonable Ineffectiveness of the Deeper Layers

Gecko: Versatile Text Embeddings Distilled from Large Language Models

Jamba: A Hybrid Transformer-Mamba Language Model

Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs

Transformers compatible Mamba

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits