David Golchinfar's picture

David Golchinfar PRO

DavidGF

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https://vago-solutions.ai

AI & ML interests

finetune llms, improve german language understanding and generated text of llms

Organizations

DavidGF's activity

upvoted a paper 10 days ago

Spectrum: Targeted Training on Signal to Noise Ratio

Paper • 2406.06623 • Published Jun 7 • 7

upvoted an article 2 months ago

Article

Google releases Gemma 2 2B, ShieldGemma and Gemma Scope

Jul 31

• 58

upvoted a collection 3 months ago

VAGO solutions quants

Quantized version for the excellent german speaking models created by VAGO solutions. • 6 items • Updated Apr 20 • 2

upvoted a collection 4 months ago

Qwen2

Qwen2 language models, including pretrained and instruction-tuned models of 5 sizes, including 0.5B, 1.5B, 7B, 57B-A14B, and 72B. • 39 items • Updated 17 days ago • 340

upvoted a collection 5 months ago

📀 Dataset comparison models

1.8B models trained on 350BT to compare different pretraining datasets • 8 items • Updated Jun 12 • 27

upvoted an article 5 months ago

Article

LLM Comparison/Test: Llama 3 Instruct 70B + 8B HF/GGUF/EXL2 (20 versions tested and compared!)

By

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Apr 24

• 56

upvoted an article 6 months ago

Article

Fine-tune Llama 3 with ORPO

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Apr 22

• 221

upvoted 2 collections 6 months ago

Meta Llama 3

This collection hosts the transformers and original repos of the Meta Llama 3 and Llama Guard 2 releases • 5 items • Updated 9 days ago • 676

🇩🇪German SFT and DPO datasets

Datasets that can be used for LLM training with axolotl, trl or llama_factory. • 30 items • Updated May 27 • 10

upvoted 2 papers 7 months ago

Arcee's MergeKit: A Toolkit for Merging Large Language Models

Paper • 2403.13257 • Published Mar 20 • 20

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

Paper • 2402.17764 • Published Feb 27 • 592

upvoted a paper 8 months ago

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens

Paper • 2401.17377 • Published Jan 30 • 34

upvoted a paper 9 months ago

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 56