Alternatives and similar repositories for QuIP-for-Llama:

Users that are interested in QuIP-for-Llama are comparing it to the libraries listed below

• chu-tianxiang / QuIP-for-all
  QuIP quantization
  ☆52Updated last year
• qwopqwop200 / gptqlora
  GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ
  ☆103Updated last year
• Cornell-RelaxML / qtip
  ☆131Updated last month
• GreenBitAI / low_bit_llama
  Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs
  ☆110Updated last year
• GreenBitAI / green-bit-llm
  A toolkit for fine-tuning, inferencing, and evaluating GreenBitAI's LLMs.
  ☆83Updated last month
• emrgnt-cmplxty / zero-shot-replication
  ☆73Updated last year
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆152Updated last year
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆154Updated 6 months ago
• BlinkDL / modded-nanogpt-rwkv
  RWKV-7: Surpassing GPT
  ☆83Updated 5 months ago
• IST-DASLab / SparseFinetuning
  Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry
  ☆40Updated last year
• mlc-ai / llm-perf-bench
  ☆118Updated last year
• wdlctc / mini-s
  ☆50Updated 6 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆362Updated last year
• wejoncy / QLLM
  A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
  ☆168Updated last month
• NolanoOrg / sparse_quant_llms
  SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia
  ☆41Updated 2 years ago
• serp-ai / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
  ☆31Updated 11 months ago
• Digitous / LLM-SLERP-Merge
  Spherical Merge Pytorch/HF format Language Models with minimal feature loss.
  ☆121Updated last year
• nyunAI / PruneGPT
  ☆53Updated 11 months ago
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆274Updated last year
• dust-tt / llama-ssp
  Experiments on speculative sampling with Llama models
  ☆125Updated last year
• OpenGVLab / EfficientQAT
  EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
  ☆265Updated 6 months ago
• zarakiquemparte / zaraki-tools
  ☆27Updated last year
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆73Updated 8 months ago
• RobertCsordas / moe_attention
  Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"
  ☆97Updated 7 months ago
• hahnyuan / RPTQ4LLM
  Reorder-based post-training quantization for large language model
  ☆188Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆346Updated 8 months ago
• AlpinDale / sparsegpt-for-LLaMA
  Code for the paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot" with LLaMA implementation.
  ☆71Updated 2 years ago
• NolanoOrg / SpectraSuite
  ☆46Updated 9 months ago
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆209Updated 5 months ago
• euclaise / supertrainer2000
  ☆49Updated last year