by @RachidAR
RachidAR
RachidAR
AI & ML interests
1.58 bit LLM
Organizations
Collections
5
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Addition is All You Need for Energy-efficient Language Models
Paper • 2410.00907 • Published • 143 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 602 -
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Paper • 2404.16710 • Published • 73 -
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory
Paper • 2405.08707 • Published • 27
models
26
RachidAR/Whisper-v3-large-turbo
Automatic Speech Recognition
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Updated
RachidAR/Qwen2.5-Coder-1.5B-Q5_K_M-GGUF
Text Generation
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Updated
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27
RachidAR/Mistral-Small-Instruct-2409-Q4_K_M-GGUF
Updated
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11
RachidAR/RWKV-v6-Finch-14B-HF-Q5_K_M-GGUF
Updated
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29
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1
RachidAR/RWKV-v6-Finch-7B-HF-Q5_K_M-GGUF
Updated
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56
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1
RachidAR/RWKV-v6-Finch-1B6-HF-Q5_K_M-GGUF
Updated
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17
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2
RachidAR/Phi-3.5-mini-instruct-Q5_K_M-GGUF
Text Generation
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Updated
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13
RachidAR/Phi-3-mini-4k-ins-June2024-Q5_K_M-imat-GGUF
Text Generation
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Updated
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17
RachidAR/Phi-3-mini-4k-instruct-June2024-Q6_K-GGUF
Text Generation
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Updated
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16
RachidAR/saiga_llama3_8b-Q6_K-GGUF
Updated
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33
datasets
None public yet