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ct2
ct-2
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SAE Interprets MoE: Sparse AutoEncoders Reveal That MoE Experts Exhibit Human-Interpretable Fine-Grained Specialization
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Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data
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Speculative Forcing for Efficient Autoregressive Video Generation
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ct-2
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7
Sort: Recently updated
ct-2/BitCPM4-CANN-8B-Q4_K_M-GGUF
Text Generation
•
8B
•
Updated
May 18
•
16
ct-2/BitCPM4-CANN-0.5B-Q4_K_M-GGUF
Text Generation
•
0.4B
•
Updated
May 18
•
22
ct-2/BitCPM4-CANN-0.5B-Q4_0-GGUF
Text Generation
•
0.4B
•
Updated
May 18
•
14
ct-2/DeepSeek-R1-ReDistill-Qwen-7B-v1.1-Q4_0-GGUF
Text Generation
•
8B
•
Updated
Feb 1, 2025
•
34
ct-2/DeepSeek-R1-Distill-Llama-8B-Q4_0-GGUF
8B
•
Updated
Jan 20, 2025
•
80
ct-2/DeepSeek-R1-Distill-Llama-8B-Q4_K_M-GGUF
8B
•
Updated
Jan 20, 2025
•
309
ct-2/openllama-v2-shakespeare-lora
Updated
Sep 24, 2023