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Feb 21, 2024
Feb 21, 2024Collections
Discover the best community collections!
Collections including paper arxiv:2305.14314
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Jun 13
Jun 13-
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Paper • 2402.05140 • Published • 23 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 22 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 57 -
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Paper • 2402.14658 • Published • 83
Collection by
Jan 15, 2024
Jan 15, 2024-
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 60 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 247 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 54 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 57
Collection by
Dec 18, 2023
Dec 18, 2023-
Attention Is All You Need
Paper • 1706.03762 • Published • 99 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 23 -
Universal Language Model Fine-tuning for Text Classification
Paper • 1801.06146 • Published • 7 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 17
Collection by
May 29
May 29-
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 28 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 45 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 -
LoRA ensembles for large language model fine-tuning
Paper • 2310.00035 • Published • 2
Collection by
Feb 26, 2024
Feb 26, 2024Collection by
Jan 10, 2024
Jan 10, 2024-
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 54 -
Attention Is All You Need
Paper • 1706.03762 • Published • 99 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 63 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 43
Collection by
May 31, 2024
May 31, 2024-
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
Paper • 2307.13304 • Published • 2 -
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Paper • 2306.03078 • Published • 3 -
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Paper • 2308.13137 • Published • 18 -
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Paper • 2306.00978 • Published • 11
Collection by
May 2, 2024
May 2, 2024-
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
Paper • 2310.18356 • Published • 24 -
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 28 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 45
Collection by
Feb 18, 2024
Feb 18, 2024-
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 28 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 45 -
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Paper • 2309.02784 • Published • 2 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1
Collection by
Feb 21, 2024
Feb 21, 2024Collection by
Feb 26, 2024
Feb 26, 2024Collection by
Jun 13
Jun 13-
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Paper • 2402.05140 • Published • 23 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 22 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 57 -
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Paper • 2402.14658 • Published • 83
Collection by
Jan 10, 2024
Jan 10, 2024-
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 54 -
Attention Is All You Need
Paper • 1706.03762 • Published • 99 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 63 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 43
Collection by
Jan 15, 2024
Jan 15, 2024-
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 60 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 247 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 54 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 57
Collection by
May 31, 2024
May 31, 2024-
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
Paper • 2307.13304 • Published • 2 -
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Paper • 2306.03078 • Published • 3 -
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Paper • 2308.13137 • Published • 18 -
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Paper • 2306.00978 • Published • 11
Collection by
Dec 18, 2023
Dec 18, 2023-
Attention Is All You Need
Paper • 1706.03762 • Published • 99 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 23 -
Universal Language Model Fine-tuning for Text Classification
Paper • 1801.06146 • Published • 7 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 17
Collection by
May 2, 2024
May 2, 2024-
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
Paper • 2310.18356 • Published • 24 -
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 28 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 45
Collection by
May 29
May 29-
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 28 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 45 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 -
LoRA ensembles for large language model fine-tuning
Paper • 2310.00035 • Published • 2
Collection by
Feb 18, 2024
Feb 18, 2024-
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 28 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 45 -
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Paper • 2309.02784 • Published • 2 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1