microsoft / TransformerCompression

Related projects ⓘ

Alternatives and complementary repositories for TransformerCompression

• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆117Updated 8 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆558Updated 8 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆305Updated 3 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆350Updated 8 months ago
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆649Updated 3 months ago
• SafeAILab / EAGLE
  Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)
  ☆826Updated this week
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆647Updated last month
• Cornell-RelaxML / quip-sharp
  ☆505Updated 3 weeks ago
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆283Updated last week
• locuslab / wanda
  A simple and effective LLM pruning approach.
  ☆669Updated 3 months ago
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆731Updated last month
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆262Updated last year
• yxli2123 / LoftQ
  ☆199Updated 5 months ago
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆254Updated 2 months ago
• arcee-ai / PruneMe
  Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
  ☆196Updated 6 months ago
• HKUNLP / ChunkLlama
  [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
  ☆358Updated last month
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆173Updated 4 months ago
• intel / auto-round
  Advanced Quantization Algorithm for LLMs. This is official implementation of "Optimize Weight Rounding via Signed Gradient Descent for t…
  ☆248Updated this week
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆241Updated last month
• vllm-project / llm-compressor
  Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
  ☆685Updated this week
• mobiusml / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆701Updated last week
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆284Updated 3 months ago
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆370Updated 4 months ago
• mit-han-lab / qserve
  QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
  ☆443Updated last week
• datamllab / LongLM
  [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
  ☆613Updated 5 months ago
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆624Updated 2 months ago
• mit-han-lab / duo-attention
  DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
  ☆373Updated 2 weeks ago
• microsoft / rho
  Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.
  ☆307Updated 7 months ago
• microsoft / MInference
  [NeurIPS'24 Spotlight] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces in…
  ☆791Updated this week
• FMInference / DejaVu
  ☆289Updated 7 months ago