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DHDaniel Han, Co-founder Unsloth AI

Top 100 AI · United States

Daniel Han

Unsloth AI United States

Score
7,7470 today
Rank
51/198 ↓8
over 90 days
+74+0.9%

Daniel Han is the co-founder of Unsloth AI, a company focused on making open-source AI more accessible. He actively develops and promotes tools for faster AI/ML model fine-tuning, reinforcement learning, and embedding models. His work includes collaborations with NVIDIA, PyTorch, and Hugging Face, and he frequently shares educational content, event announcements, and updates on Unsloth AI's open-source projects.

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Data as of Oct 25, 2026.

The raw numbers · last 90 days

Median views
98.5K
per post
Median engagements
1.2K
per post
Posts
29
over 90 days
Followers
79.2K
all scored platforms

What drives the score

Percentiles 0–100 against all tracked creators.

  • Reach · 30%92

    Average views per post over 90 days

  • Engagement · 30%83

    Average reactions per post

  • Audience · 30%66

    Total followers, relative to population

  • Consistency · 10%100

    Posting frequency (25 posts / 90 days = 100)

Platforms

79.2K total followers

PlatformFollowersScore
LinkedIn@danielhanchen79.2K11,391t1

Last 30 days

Han's top posts

  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 days ago#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…

    491.2K views5.8K engagements

  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 days ago#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…

    297.7K views3.5K engagements

  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 days ago#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-…

    190.2K views2.3K engagements

  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 days ago#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/…

    121.4K views1.5K engagements

  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 days ago#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…

    99.6K views1.2K engagements

  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 days ago#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…

    93.8K views1.1K engagements

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