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One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO
nvidia
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🧐 Are SDMs AGI?
Lightbender
Monster-Code
P(doom) Rejects the premise
AI & ML interests
@Lightbend
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Multimodal open d1 decision models for the edge
LiquidAI
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Vev: Jev-style decisions about images, from a 4B or 9B model you can run yourself.
Give it a screenshot or photo plus a yes/no, multiple-choice, or scoring question, and it returns a probability for every option instead of generating text.
It serves TypeSafe's
The clip shows
Try it in the browser:
CountingSheep/vev
Weights:
CountingSheep/vev-4b
CountingSheep/vev-9b
LoRA adapters are also available in the collection.
Code:
https://github.com/Xiaooolong/vev
Fine-tuned from Qwen3.5. Tested on NVIDIA GPUs so far.
Give it a screenshot or photo plus a yes/no, multiple-choice, or scoring question, and it returns a probability for every option instead of generating text.
It serves TypeSafe's
/v1/systemone format, so the official SDK works by changing the base URL, including requests with images.The clip shows
vev-4b playing Doom in real time. On each look, the image is split into 8 vertical slices, and Vev answers 8 yes/no questions in a single request, one per slice. A small fixed-rule harness turns those probabilities into turning and firing.Try it in the browser:
CountingSheep/vev
Weights:
CountingSheep/vev-4b
CountingSheep/vev-9b
LoRA adapters are also available in the collection.
Code:
https://github.com/Xiaooolong/vev
Fine-tuned from Qwen3.5. Tested on NVIDIA GPUs so far.
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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
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
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