❄️ If you lock in you can do anything.

Christina Emilie Sørensen PRO

cafkafk

·

https://point.free

AI & ML interests

I'm not an ML person! I just like to learn...

Recent Activity

posted an update about 17 hours ago

I'm working on a local model that can be run on stuff like an an RTX 3080 at 60 t/s. I'm focused on making it good at Rust and Nix. It's... not done yet, but doing great already. Had a 28/100 on livebench v6 earlier, which obviously isn't amazing. But for my first real model, very exciting. Can't wait to share more as I get closer to the finish line in the coming weeks.

reacted to mihailgribov's post with 🔥 2 days ago

Will your AI agent tell you it was attacked? We took the same agent from our earlier experiment and added one thing: a twentieth tool, `escalate_security_incident`. The system prompt said nothing about attacks or when to use it. We then ran the same 395 injected emails through nine agentic models. Alarm rates ranged from 49% to zero. The unexpected result came from the newest model in the test, `gpt-6-astra`. Astra did not follow a single injected payment instruction. But it did not report a single one either. On clean and injected emails alike, it simply read the email, logged the subject, and finished. That is a useful distinction: resisting an attack and recognizing it as a security event are not the same capability. A model can be perfectly resistant in this test and still leave you with no evidence that anyone attacked it. Full experiment and results: https://huggingface.co/blog/mihailgribov/will-the-agent-tell-you-it-was-attacked Quadrat-IPI dataset: https://huggingface.co/datasets/mihailgribov/quadrat-ipi Run your own model: https://github.com/mihail-gribov/quadrat-ipi-model-eval #prompt-injection #indirect-prompt-injection #agentic-ai #llm-security #ai-agents

updated a collection 10 days ago

Qwen3.6 GGUF with vision and MTP

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liked a model 12 days ago

Alibaba-NLP/Tongyi-DeepResearch-30B-A3B

Text Generation • 31B • Updated Oct 10, 2025 • 6.46k • 823

liked 2 models about 1 month ago

Eriskii/LFM2.5-8B-A1B-Multichannel

Text Generation • 8B • Updated Jun 14 • 130 • 13

QuantTrio/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2-AWQ

Image-Text-to-Text • 28B • Updated Mar 30 • 111k • 14

liked a model 4 months ago

google/gemma-4-12B

Any-to-Any • 12B • Updated Jul 15 • 129k • 757

liked a Space 5 months ago

Open ASR Leaderboard

Compare speech‑recognition models across datasets and languages

liked 15 models 5 months ago

ibm-granite/granite-speech-4.1-2b-nar

Feature Extraction • 2B • Updated Jun 18 • 88.6k • 61

cafkafk/gemma-4-31B-it-assistant-GGUF-noimatrix

0.5B • Updated May 8 • 588 • 8

cafkafk/gemma-4-26B-A4B-it-assistant-GGUF-noimatrix

0.4B • Updated May 8 • 909 • 2

cafkafk/gemma-4-E4B-it-assistant-GGUF-noimatrix

78.8M • Updated May 8 • 504 • 3

cafkafk/gemma-4-E2B-it-assistant-GGUF-noimatrix

78M • Updated May 8 • 517 • 2

google/alphagenome-all-folds

Updated Jan 27 • 128

google/alphagenome-fold-3

Updated Jan 27 • 23

google/alphagenome-fold-2

Updated Jan 27 • 13

google/alphagenome-fold-1

Updated Jan 27 • 12

google/alphagenome-fold-0

Updated Jan 27 • 13

google/medasr

Automatic Speech Recognition • 0.1B • Updated May 26 • 21.3k • 369

google/gemma-4-E2B-it

Any-to-Any • 5B • Updated Jul 20 • 3.03M • 994

google/gemma-4-E4B-it

Any-to-Any • 8B • Updated Jul 20 • 4.37M • 1.63k

google/gemma-4-26B-A4B-it

Image-Text-to-Text • 26B • Updated Jul 20 • 13.1M • • 1.57k

google/gemma-4-26B-A4B-it-assistant

Any-to-Any • 0.4B • Updated Jul 15 • 122k • 186