EmbeddingGemma: Powerful and Lightweight Text Representations
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2509.20354
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39
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osanseviero
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xiyang99
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CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning
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2401.14011
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HalluDial: A Large-Scale Benchmark for Automatic Dialogue-Level Hallucination Evaluation
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2406.07070
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MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding
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2406.04264
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2
Emu3: Next-Token Prediction is All You Need
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2409.18869
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95
CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition
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2502.18913
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SeniorTalk: A Chinese Conversation Dataset with Rich Annotations for Super-Aged Seniors
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2503.16578
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Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs
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2505.11842
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EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations
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2505.23018
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RoboBrain 2.0 Technical Report
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2507.02029
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32
Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information
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2508.11252
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3
RealTalk-CN: A Realistic Chinese Speech-Text Dialogue Benchmark With Cross-Modal Interaction Analysis
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2508.10015
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Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning
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2508.02178
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FlagEval Findings Report: A Preliminary Evaluation of Large Reasoning Models on Automatically Verifiable Textual and Visual Questions
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2509.17177
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13
jeffboudier
posted
an
update
2 months ago
Post
2973
Quick 30s demo of the new Hub > Azure AI integration to deploy HF models in your own Azure account. Now with Py and CLI!
GG @alvarobartt @kramp @pagezyhf
GG @alvarobartt @kramp @pagezyhf
danielhanchen
posted
an
update
2 months ago
Post
5806
Run DeepSeek-V3.1 locally on 170GB RAM with Dynamic 1-bit GGUFs!🐋
GGUFs: unsloth/DeepSeek-V3.1-GGUF
The 715GB model gets reduced to 170GB (-80% size) by smartly quantizing layers.
The 1-bit GGUF passes all our code tests & we fixed the chat template for llama.cpp supported backends.
Guide: https://docs.unsloth.ai/basics/deepseek-v3.1
GGUFs: unsloth/DeepSeek-V3.1-GGUF
The 715GB model gets reduced to 170GB (-80% size) by smartly quantizing layers.
The 1-bit GGUF passes all our code tests & we fixed the chat template for llama.cpp supported backends.
Guide: https://docs.unsloth.ai/basics/deepseek-v3.1
1024m
authored
2
papers
3 months ago
JingzeShi
authored
a
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3 months ago
danielhanchen
posted
an
update
3 months ago
Post
5098
Run OpenAI's new gpt-oss models locally with Unsloth GGUFs! 🔥🦥
20b GGUF: unsloth/gpt-oss-20b-GGUF
120b GGUF: unsloth/gpt-oss-120b-GGUF
Model will run on 14GB RAM for 20b and 66GB for 120b.
20b GGUF: unsloth/gpt-oss-20b-GGUF
120b GGUF: unsloth/gpt-oss-120b-GGUF
Model will run on 14GB RAM for 20b and 66GB for 120b.
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