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DHDaniel Han, Co-founder Unsloth AI

Top 100 IA · États-Unis

Daniel Han

Unsloth AI États-Unis

Score
7 7470 auj.
Rang
51/198 ↓8
sur 90 jours
+74+0,9 %

Daniel Han est le cofondateur d'Unsloth AI, une entreprise qui vise à rendre l'IA open-source plus accessible. Il développe et promeut activement des outils pour accélérer le fine-tuning des modèles IA/ML, l'apprentissage par renforcement et les modèles d'embedding. Son travail inclut des collaborations avec NVIDIA, PyTorch et Hugging Face, et il partage régulièrement du contenu éducatif, des annonces d'événements et des mises à jour sur les projets open-source d'Unsloth AI.

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Données au 25 oct. 2026.

Les chiffres bruts · 90 derniers jours

Vues médianes
98,5 k
par publication
Interactions médianes
1,2 k
par publication
Publications
29
sur 90 jours
Abonnés
79,2 k
tous réseaux scorés

Ce qui fait le score

Centiles 0 – 100 face à tous les créateurs suivis.

  • Portée · 30 %92

    Vues moyennes par publication sur 90 jours

  • Engagement · 30 %83

    Réactions moyennes par publication

  • Audience · 30 %66

    Abonnés cumulés, rapportés à la population

  • Régularité · 10 %100

    Rythme de publication (25 posts / 90 j = 100)

Réseaux

79,2 k abonnés cumulés

RéseauAbonnésScore
LinkedIn@danielhanchen79,2 k11 391t1

30 derniers jours

Les meilleurs posts de Han

  1. You can now train your own Decision model like Jev locally! 💡 We increased Qwen3.5 0.8B’s accuracy from 20.7% to 74.3% across 3 decision benchmarks - on just 4GB VRAM. Turn any LLM like Qwen3.8, Gemma 4 into decision…
    LinkedIn · il y a 19 j#1
    DHDaniel Han, Co-founder Unsloth AIDaniel Han

    You can now train your own Decision model like Jev locally! 💡 We increased Qwen3.5 0.8B’s accuracy from 20.7% to 74.3% across 3 decision benchmarks - on just 4GB VRAM. Turn any LLM like Qwen3.8, Gemma 4 into decision…

    491,6 k vues5,8 k interactions

  2. Google releases EmbeddingGemma 2. ✨ The new open model runs on just 0.5GB RAM and supports text, code, images, video and audio, with 740M parameters: text (270M), vision (170M) and audio (300M). Use EmbeddingGemma 2 v…
    LinkedIn · il y a 20 j#2
    DHDaniel Han, Co-founder Unsloth AIDaniel Han

    Google releases EmbeddingGemma 2. ✨ The new open model runs on just 0.5GB RAM and supports text, code, images, video and audio, with 740M parameters: text (270M), vision (170M) and audio (300M). Use EmbeddingGemma 2 v…

    298 k vues3,5 k interactions

  3. NVIDIA releases Nemotron-3.5-Bolt-E4B, a new model that runs locally on 4GB VRAM. 💚 Bolt-E4B can run on edge devices and delivers top-tier performance for its size. Trained on Google's Gemma 4, the model supports 64-…
    LinkedIn · il y a 3 j#3
    DHDaniel Han, Co-founder Unsloth AIDaniel Han

    NVIDIA releases Nemotron-3.5-Bolt-E4B, a new model that runs locally on 4GB VRAM. 💚 Bolt-E4B can run on edge devices and delivers top-tier performance for its size. Trained on Google's Gemma 4, the model supports 64-…

    198,1 k vues2,4 k interactions

  4. Meta releases Muse Spark Open, a new SOTA open model. Muse-Spark-Open-816B-A42B supports text, images, video and audio input with 1M context. Run via Dynamic 2-bit Unsloth AI GGUFs on 256GB RAM. GGUF: https://lnkd.in/…
    LinkedIn · il y a 11 j#4
    DHDaniel Han, Co-founder Unsloth AIDaniel Han

    Meta releases Muse Spark Open, a new SOTA open model. Muse-Spark-Open-816B-A42B supports text, images, video and audio input with 1M context. Run via Dynamic 2-bit Unsloth AI GGUFs on 256GB RAM. GGUF: https://lnkd.in/…

    121,5 k vues1,5 k interactions

  5. DeepSeek V4.1-Flash-1017 can now run locally! 🐳 We made 1-bit Unsloth AI GGUFs retain ~88.2% accuracy, shrinking size from 508GB to 250GB (−52%). Run on a 128GB+ RAM device for 1-bit, 3-bit on 256GB or full precision…
    LinkedIn · il y a 7 j#5
    DHDaniel Han, Co-founder Unsloth AIDaniel Han

    DeepSeek V4.1-Flash-1017 can now run locally! 🐳 We made 1-bit Unsloth AI GGUFs retain ~88.2% accuracy, shrinking size from 508GB to 250GB (−52%). Run on a 128GB+ RAM device for 1-bit, 3-bit on 256GB or full precision…

    100,7 k vues1,2 k interactions

  6. NVIDIA releases 2 new models: Nemotron-3.5-Bolt and Nemotron-3.5-Super-VL. Nemotron-3.5-Bolt-74B-A9B runs on 24GB RAM. It delivers top-tier performance for its size. Super-VL-120B-A12B runs on 82GB RAM. Unsloth AI Nem…
    LinkedIn · il y a 11 j#6
    DHDaniel Han, Co-founder Unsloth AIDaniel Han

    NVIDIA releases 2 new models: Nemotron-3.5-Bolt and Nemotron-3.5-Super-VL. Nemotron-3.5-Bolt-74B-A9B runs on 24GB RAM. It delivers top-tier performance for its size. Super-VL-120B-A12B runs on 82GB RAM. Unsloth AI Nem…

    93,9 k vues1,1 k interactions

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