David Golchinfar PRO

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upvoted a collection 9 days ago

🇫🇷 Calme-3

Collection

Here you can find all the new Calme-3 models • 25 items • Updated 8 days ago • 7

upvoted a paper about 2 months ago

Spectrum: Targeted Training on Signal to Noise Ratio

Paper • 2406.06623 • Published Jun 7 • 7

upvoted an article 4 months ago

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Article

Google releases Gemma 2 2B, ShieldGemma and Gemma Scope

Jul 31

• 59

upvoted a collection 4 months ago

VAGO solutions quants

Collection

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

upvoted a collection 5 months ago

Qwen2

Collection

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 Sep 18 • 346

upvoted a collection 7 months ago

📀 Dataset comparison models

Collection

1.8B models trained on 350BT to compare different pretraining datasets • 8 items • Updated Jun 12 • 31

upvoted 2 articles 7 months ago

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Article

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

By •

Apr 24

• 59

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Article

Fine-tune Llama 3 with ORPO

By •

Apr 22

• 227

upvoted 2 collections 7 months ago

Meta Llama 3

Collection

This collection hosts the transformers and original repos of the Meta Llama 3 and Llama Guard 2 releases • 5 items • Updated Sep 25 • 682

🇩🇪German SFT and DPO datasets

Collection

Datasets that can be used for LLM training with axolotl, trl or llama_factory. • 32 items • Updated 6 days ago • 11

upvoted 2 papers 8 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 • 602

upvoted a paper 10 months ago

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

Paper • 2401.17377 • Published Jan 30 • 34

upvoted a paper 11 months ago

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

Paper • 2312.15166 • Published Dec 23, 2023 • 56