GreenBitAI / low_bit_llamaLinks
Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs
☆110Updated last year
Alternatives and similar repositories for low_bit_llama
Users that are interested in low_bit_llama are comparing it to the libraries listed below
Sorting:
- PB-LLM: Partially Binarized Large Language Models☆155Updated last year
- QuIP quantization☆60Updated last year
- Repository for CPU Kernel Generation for LLM Inference☆26Updated 2 years ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- Reorder-based post-training quantization for large language model☆195Updated 2 years ago
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆103Updated 2 years ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees" adapted for Llama models☆40Updated 2 years ago
- SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia☆41Updated 2 years ago
- ☆202Updated 10 months ago
- ☆51Updated last year
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆154Updated 11 months ago
- ☆98Updated last month
- Structural Pruning for LLaMA☆54Updated 2 years ago
- Experiments on speculative sampling with Llama models☆128Updated 2 years ago
- Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)☆44Updated 3 months ago
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆180Updated 6 months ago
- ☆156Updated 2 years ago
- ☆128Updated last year
- RWKV-7: Surpassing GPT☆96Updated 10 months ago
- ☆57Updated last year
- Official code for "SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient"☆145Updated last year
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆73Updated last year
- Repo hosting codes and materials related to speeding LLMs' inference using token merging.☆36Updated 2 months ago
- Work in progress.☆74Updated 3 months ago
- vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs☆90Updated this week
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆383Updated last year
- Token Omission Via Attention☆128Updated 11 months ago
- ☆69Updated last year