Recursive Superintelligence, Inc.

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jtobin-recursive new activity 12 days ago

RecursiveSI/flint:Why SI and not AI?

alexey-recursive published a model 12 days ago

RecursiveSI/flint-nvfp4-gguf

alexey-recursive published a model 12 days ago

RecursiveSI/flint-int4-gguf

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danielhanchen

posted an update 3 days ago

Post

497

We’re releasing new DeepSeek-V4.1-Flash-1017 GGUFs, ranking highest across benchmarks. 🐋

Dynamic V3.1 leads across nearly all benchmarks: GPQA Diamond, AIME25, LiveCodeBench v6, MMLU-Pro, Aider & more.

Run on 64GB+ RAM.

GGUF: unsloth/DeepSeek-V4.1-Flash-1017-GGUF
Blog: https://unsloth.ai/docs/models/deepseek-v4.1-flash

1 reply

danielhanchen

posted an update 5 days ago

Post

2,363

Your local LLM can now take control of a browser and complete tasks autonomously via Unsloth!

Qwen3.8-27B successfully controlled the browser to complete tasks like chess, painting, with no human intervention.

GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/basics/browser-use

1 reply

jtobin-recursive

in RecursiveSI/flint 12 days ago

Why SI and not AI?

➕ 23

#1 opened 12 days ago by

PotatoSniffer

alexey-recursive

published 3 models 12 days ago

published a model 12 days ago

RecursiveSI/flint

Text Generation • 40B • Updated 12 days ago • 29.6k • 1.31k

alexey-recursive

updated 3 models 12 days ago

RecursiveSI/flint-int4-gguf

Text Generation • 40B • Updated 12 days ago • 47.2k • 34

RecursiveSI/flint-nvfp4-gguf

Text Generation • 40B • Updated 12 days ago • 71.5k • 32

RecursiveSI/flint-int4

Text Generation • Updated 12 days ago • 14.6k • 28

lvmopt

updated a model 12 days ago

RecursiveSI/flint

Text Generation • 40B • Updated 12 days ago • 29.6k • 1.31k

danielhanchen

posted an update 14 days ago

Post

5,031

Run DeepSeek V4.1-Flash-1017 locally! 🐳

We made 1-bit retain ~88.2% accuracy while shrinking size from 508GB to 250GB (−52%).

Run on a 128GB+ RAM device. V4.1 Flash 1017 is the strongest open model to date

Guide: https://unsloth.ai/docs/models/deepseek-v4.1-flash
GGUF: unsloth/DeepSeek-V4.1-Flash-1017-GGUF

danielhanchen

posted an update 25 days ago

Post

5,128

You can now train your own Decision model like Jev locally!

We increased Qwen3.5 0.8B’s aggregate 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 models with our open-source Unsloth repo.

GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/basics/train-your-own-decision-model-with-unsloth

5 replies

danielhanchen

posted an update 27 days ago

Post

4,141

Google releases EmbeddingGemma 2, a new open embedding model that runs locally on 0.5GB RAM.

The 740M parameter Apache 2.0 model combines a 270M text model with vision (170M) + audio (300M).

Run & train the model via Unsloth.

GGUF: unsloth/embeddinggemma-2-GGUF
Guide: https://unsloth.ai/docs/models/embeddinggemma-2

danielhanchen

posted an update about 1 month ago

Post

9,197

Unsloth has surpassed 500M model downloads on Hugging Face! 🦥🤗

Qwen3.8-27B GGUF is already Unsloth’s #1 most-downloaded model ever.

Thanks for all your support! Follow us:

unsloth

1 reply

danielhanchen

posted an update about 1 month ago

Post

3,771

Qwen-Image-2.1 can now run locally on 12GB VRAM with Unsloth GGUFs! 🖼️

The 7B model performs on par with Nano Banana 2.0.

For higher quality, you can also run Dynamic FP8 on just 6GB of VRAM via offloading.

GGUF: unsloth/Qwen-Image-2.1-GGUF
Guide: https://unsloth.ai/docs/models/qwen-image-2.1

danielhanchen

posted an update about 2 months ago

Post

6,934

Qwen3.8-27B Unsloth GGUF is now the #1 most-liked GGUF of all time! 🤗🦥

The model hit 10M downloads and 3.7K likes in just 24 days on Hugging Face - all thanks to you.

GGUF: unsloth/Qwen3.8-27B-GGUF
Guide: https://unsloth.ai/docs/models/qwen3.8

5 replies

cranial-xix

submitted a paper to Daily Papers 3 months ago

Maglev: Sliding Recurrent Memory

Paper • 2608.02870 • Published Aug 5 • 8

danielhanchen

posted an update 3 months ago

Post

7,586

Introducing Unsloth Desktop 🦥
The first desktop app to run and train models locally.

• Open-source. Runs on Mac, Windows and Linux
• Supports MLX, diffusion image/video, audio, GGUF
• Connect Claude Code and Codex to local LLMs
• 50% more accurate, self-healing tool calls + sandboxed code exec
• Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac
• Train models 2× faster with 70% less VRAM
• Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF)
• Use Unsloth’s OpenAI-compatible API and cloud models
• Securely deploy LLMs remotely and access anywhere

Unsloth Desktop is now available on http://unsloth.ai
and GitHub.

GitHub: https://github.com/unslothai/unsloth
Blog and Guide: https://unsloth.ai/docs/desktop

6 replies

danielhanchen

posted an update 3 months ago

Post

3,845

DeepSeek-V4-Flash can now run 2× faster locally with DSpark! ⚡️

DSpark enables V4-Flash-0731 GGUFs to generate ~1.4–2× faster with no accuracy change.

DeepSeek-V4-Flash-0731 can reach at 120 tokens/s.

GGUFs: unsloth/DeepSeek-V4-Flash-0731-GGUF
Guide: https://unsloth.ai/docs/models/deepseek-v4

1 reply

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Recent Activity

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RecursiveSI's activity

Why SI and not AI?

Team members 30
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