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DHDaniel Han, Co-founder Unsloth AI

Top 100 IA · Stati Uniti

Daniel Han

Unsloth AI Stati Uniti

Punteggio
77470 oggi
Posizione
51/198 ↓8
in 90 giorni
+74+0,9%

Daniel Han è il co-fondatore di Unsloth AI, un'azienda focalizzata nel rendere l'IA open-source più accessibile. Sviluppa attivamente e promuove strumenti per il fine-tuning più rapido di modelli AI/ML, il reinforcement learning e i modelli di embedding. Il suo lavoro include collaborazioni con NVIDIA, PyTorch e Hugging Face, e condivide frequentemente contenuti educativi, annunci di eventi e aggiornamenti sui progetti open-source di Unsloth AI.

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Dati al 25 ott 2026.

I numeri grezzi · ultimi 90 giorni

Visualizzazioni mediane
98,5K
per post
Interazioni mediane
1,2K
per post
Post
29
in 90 giorni
Follower
79,2K
tutti i social nel punteggio

Cosa determina il punteggio

Percentili 0 – 100 rispetto a tutti i creator monitorati.

  • Portata · 30%92

    Visualizzazioni medie per post su 90 giorni

  • Engagement · 30%83

    Reazioni medie per post

  • Audience · 30%66

    Follower totali, rapportati alla popolazione

  • Costanza · 10%100

    Ritmo di pubblicazione (25 post / 90 g = 100)

Social

79,2K follower in totale

SocialFollowerPunteggio
LinkedIn@danielhanchen79,2K11.391t1

Ultimi 30 giorni

I migliori post di 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 · 19 gg fa#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…

    491,6K visualizzazioni5,8K interazioni

  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 · 20 gg fa#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…

    298K visualizzazioni3,5K interazioni

  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 · 3 gg fa#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-…

    198,1K visualizzazioni2,4K interazioni

  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 · 11 gg fa#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/…

    121,5K visualizzazioni1,5K interazioni

  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 · 7 gg fa#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…

    100,7K visualizzazioni1,2K interazioni

  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 · 11 gg fa#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…

    93,9K visualizzazioni1,1K interazioni

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