This collection lists all the historical (pre-"Hub") canonical model checkpoints, i.e. repos that were not under an org or user namespace
Julien Chaumond PRO
julien-c
AI & ML interests
<3 ML/AI for everyone, building products to propel communities fwd
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microsoft/OptiMind-SFT
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Introducing Trackio: A Lightweight Experiment Tracking Library from Hugging Face
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openvision/YOLO26
Organizations
[NB: Notes are from TuringPost]
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EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
Paper • 2403.09977 • Published • 10 -
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference
Paper • 2403.14520 • Published • 35 -
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series
Paper • 2403.15360 • Published • 13
Papers cited in https://blog.vllm.ai/2024/07/25/lfai-perf.html
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Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
Paper • 2407.00079 • Published • 5 -
Llumnix: Dynamic Scheduling for Large Language Model Serving
Paper • 2406.03243 • Published -
CacheGen: Fast Context Loading for Language Model Applications
Paper • 2310.07240 • Published • 1 -
vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
Paper • 2405.04437 • Published • 3
referenced in the mergekit repo: https://github.com/cg123/mergekit
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Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper • 2203.05482 • Published • 7 -
Editing Models with Task Arithmetic
Paper • 2212.04089 • Published • 7 -
Resolving Interference When Merging Models
Paper • 2306.01708 • Published • 15 -
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper • 2311.03099 • Published • 30
Playing with git-theta: https://github.com/r-three/git-theta
This collection lists all the historical (pre-"Hub") canonical model checkpoints, i.e. repos that were not under an org or user namespace
referenced in the mergekit repo: https://github.com/cg123/mergekit
-
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Paper • 2203.05482 • Published • 7 -
Editing Models with Task Arithmetic
Paper • 2212.04089 • Published • 7 -
Resolving Interference When Merging Models
Paper • 2306.01708 • Published • 15 -
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper • 2311.03099 • Published • 30
[NB: Notes are from TuringPost]
-
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
Paper • 2403.09977 • Published • 10 -
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference
Paper • 2403.14520 • Published • 35 -
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series
Paper • 2403.15360 • Published • 13
Playing with git-theta: https://github.com/r-three/git-theta
Papers cited in https://blog.vllm.ai/2024/07/25/lfai-perf.html
-
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
Paper • 2407.00079 • Published • 5 -
Llumnix: Dynamic Scheduling for Large Language Model Serving
Paper • 2406.03243 • Published -
CacheGen: Fast Context Loading for Language Model Applications
Paper • 2310.07240 • Published • 1 -
vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
Paper • 2405.04437 • Published • 3