First Omni-modal Future Forecasting Benchmark
AI & ML interests
LLM
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Papers
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development
A unified multimodal large language model for end-to-end speaker-attributed, time-stamped transcription.
An Efficient Training Framework for Diffusion Language Models
True Speech-to-Speech Langugage Model
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OpenMOSS-Team/Embodied_R1-ScienceWorld
8B ā¢ Updated ā¢ 1 -
OpenMOSS-Team/Embodied_Planner-R1-Alfworld
8B ā¢ Updated ā¢ 4 -
Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning
Paper ā¢ 2506.23127 ā¢ Published ā¢ 1 -
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning
Paper ā¢ 2503.10480 ā¢ Published ā¢ 55
The MHA2MLA model published in the paper "Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-Based LLMs"
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OpenMOSS-Team/SmolLM-135M-MLA-d_kv_8-refactor
Text Generation ā¢ 0.1B ā¢ Updated ā¢ 6 -
OpenMOSS-Team/SmolLM-135M-MLA-d_kv_32-refactor
Text Generation ā¢ 0.1B ā¢ Updated ā¢ 25 -
OpenMOSS-Team/SmolLM-135M-MLA-d_kv_16-refactor
Text Generation ā¢ 0.1B ā¢ Updated ā¢ 9 -
OpenMOSS-Team/SmolLM-360M-MLA-d_kv_8-refactor
Text Generation ā¢ 0.3B ā¢ Updated ā¢ 21
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OpenMOSS-Team/moss-moon-003-sft-plugin
Text Generation ā¢ Updated ā¢ 8 ā¢ 69 -
OpenMOSS-Team/moss-moon-003-sft
Text Generation ā¢ Updated ā¢ 15 ā¢ 127 -
OpenMOSS-Team/moss-moon-003-base
Text Generation ā¢ Updated ā¢ 130 ā¢ 131 -
OpenMOSS-Team/moss-moon-003-sft-int4
Text Generation ā¢ Updated ā¢ 19 ā¢ 40
Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning
https://github.com/OpenMOSS/FRoM-W1
Proactive Robot Manipulation in Omni-modal Context
Open source weights of Lorsa modules introduced in "Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition".
The MHA2MLA model published in the paper "Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-Based LLMs"
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Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
Paper ā¢ 2502.14837 ā¢ Published ā¢ 3 -
OpenMOSS-Team/Llama-2-7B-MLA-d_kv_16
Text Generation ā¢ 6B ā¢ Updated ā¢ 4 -
OpenMOSS-Team/Llama-2-7B-MLA-d_kv_32
Text Generation ā¢ 6B ā¢ Updated ā¢ 3 -
OpenMOSS-Team/Llama-2-7B-MLA-d_kv_64
Text Generation ā¢ 7B ā¢ Updated ā¢ 1
First Omni-modal Future Forecasting Benchmark
Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning
A unified multimodal large language model for end-to-end speaker-attributed, time-stamped transcription.
https://github.com/OpenMOSS/FRoM-W1
An Efficient Training Framework for Diffusion Language Models
Proactive Robot Manipulation in Omni-modal Context
True Speech-to-Speech Langugage Model
-
OpenMOSS-Team/Embodied_R1-ScienceWorld
8B ā¢ Updated ā¢ 1 -
OpenMOSS-Team/Embodied_Planner-R1-Alfworld
8B ā¢ Updated ā¢ 4 -
Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning
Paper ā¢ 2506.23127 ā¢ Published ā¢ 1 -
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning
Paper ā¢ 2503.10480 ā¢ Published ā¢ 55
Open source weights of Lorsa modules introduced in "Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition".
The MHA2MLA model published in the paper "Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-Based LLMs"
-
OpenMOSS-Team/SmolLM-135M-MLA-d_kv_8-refactor
Text Generation ā¢ 0.1B ā¢ Updated ā¢ 6 -
OpenMOSS-Team/SmolLM-135M-MLA-d_kv_32-refactor
Text Generation ā¢ 0.1B ā¢ Updated ā¢ 25 -
OpenMOSS-Team/SmolLM-135M-MLA-d_kv_16-refactor
Text Generation ā¢ 0.1B ā¢ Updated ā¢ 9 -
OpenMOSS-Team/SmolLM-360M-MLA-d_kv_8-refactor
Text Generation ā¢ 0.3B ā¢ Updated ā¢ 21
The MHA2MLA model published in the paper "Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-Based LLMs"
-
Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
Paper ā¢ 2502.14837 ā¢ Published ā¢ 3 -
OpenMOSS-Team/Llama-2-7B-MLA-d_kv_16
Text Generation ā¢ 6B ā¢ Updated ā¢ 4 -
OpenMOSS-Team/Llama-2-7B-MLA-d_kv_32
Text Generation ā¢ 6B ā¢ Updated ā¢ 3 -
OpenMOSS-Team/Llama-2-7B-MLA-d_kv_64
Text Generation ā¢ 7B ā¢ Updated ā¢ 1
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OpenMOSS-Team/moss-moon-003-sft-plugin
Text Generation ā¢ Updated ā¢ 8 ā¢ 69 -
OpenMOSS-Team/moss-moon-003-sft
Text Generation ā¢ Updated ā¢ 15 ā¢ 127 -
OpenMOSS-Team/moss-moon-003-base
Text Generation ā¢ Updated ā¢ 130 ā¢ 131 -
OpenMOSS-Team/moss-moon-003-sft-int4
Text Generation ā¢ Updated ā¢ 19 ā¢ 40