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Machine learning, deep learning, generative AI, LLMs
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salma-remyx
updated
a
Space
1 day ago
salma-remyx
updated
a
model
18 days ago
Update model card with paper, project page, and code links
3
#2 opened 24 days ago
by
nielsr
How to Train the Model?
1
#1 opened 24 days ago
by
qhz991029
salma-remyx
posted
an
update
24 days ago
Post
1705
I'm auto-generating Docker Images to smoke-test new research repos 🔥
Shared to Docker Hub daily! 🐳
Today's featured paper+Image:
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs
https://hub.docker.com/repository/docker/remyxai/2506.21862v1/general
Shared to Docker Hub daily! 🐳
Today's featured paper+Image:
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs
https://hub.docker.com/repository/docker/remyxai/2506.21862v1/general
salma-remyx
updated
a
model
27 days ago
salma-remyx
updated
a
model
about 1 month ago
Performance
3
#1 opened 3 months ago
by
yveeckh
## 🚨License Conflict: Apache-2.0 vs Qwen Research License
1
#4 opened about 1 month ago
by
xixi126
salma-remyx
posted
an
update
about 1 month ago
Post
1584
When multiple benchmarks yield conflicting model rankings, how do you know which model to trust?
In this substack, we explore that question in the context of spatial reasoning capabilities as seen from the perspective of 3 new benchmarks.
Read more: https://remyxai.substack.com/p/benchmark-fusion
In this substack, we explore that question in the context of spatial reasoning capabilities as seen from the perspective of 3 new benchmarks.
Read more: https://remyxai.substack.com/p/benchmark-fusion
salma-remyx
posted
an
update
3 months ago
Post
1868
SpaceThinker-Qwen2.5VL-3B shows a 3B VLM can compete with closed, frontier APIs in quantitative spatial reasoning, a key capability for embodied AI applications like drones and robotics.
Check out how it stacks up against Gemini and OpenAI on Q-Spatial-Bench in the ModelCard. Includes .gguf, colab quickstart, docker images.
SpaceThinker adopts the Qwen2.5VL-3B architecture, fine-tuned on the SpaceThinker dataset of synthetic spatial reasoning traces, created with VQASynth
This model builds upon the SpaceLLaVA series of VLMs finetuned for enhanced spatial reasoning using synthetic data by adding test-time compute for multimodal thinking.
Model: remyxai/SpaceThinker-Qwen2.5VL-3B
Dataset: remyxai/SpaceThinker
Space: remyxai/SpaceThinker-Qwen2.5VL-3B
Code: https://github.com/remyxai/VQASynth
Discussion: open-r1/README#10
Check out how it stacks up against Gemini and OpenAI on Q-Spatial-Bench in the ModelCard. Includes .gguf, colab quickstart, docker images.
SpaceThinker adopts the Qwen2.5VL-3B architecture, fine-tuned on the SpaceThinker dataset of synthetic spatial reasoning traces, created with VQASynth
This model builds upon the SpaceLLaVA series of VLMs finetuned for enhanced spatial reasoning using synthetic data by adding test-time compute for multimodal thinking.
Model: remyxai/SpaceThinker-Qwen2.5VL-3B
Dataset: remyxai/SpaceThinker
Space: remyxai/SpaceThinker-Qwen2.5VL-3B
Code: https://github.com/remyxai/VQASynth
Discussion: open-r1/README#10
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salma-remyx
updated
a
model
3 months ago
salma-remyx
updated
a
dataset
3 months ago
salma-remyx
updated
3
models
3 months ago