AlpinDale / QuIP-for-LlamaLinks
Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees" adapted for Llama models
☆35Updated last year
Alternatives and similar repositories for QuIP-for-Llama
Users that are interested in QuIP-for-Llama are comparing it to the libraries listed below
Sorting:
- QuIP quantization☆52Updated last year
- PB-LLM: Partially Binarized Large Language Models☆152Updated last year
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year
- ☆53Updated last year
- ☆130Updated 2 months ago
- Reorder-based post-training quantization for large language model☆189Updated 2 years ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆365Updated last year
- Spherical Merge Pytorch/HF format Language Models with minimal feature loss.☆123Updated last year
- ☆119Updated last year
- RWKV-7: Surpassing GPT☆88Updated 6 months ago
- ☆72Updated last year
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆172Updated 2 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆275Updated last year
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆103Updated 2 years ago
- ☆48Updated 10 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia☆40Updated 2 years ago
- Experiments on speculative sampling with Llama models☆126Updated last year
- GPT-2 small trained on phi-like data☆66Updated last year
- Code for the paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot" with LLaMA implementation.☆70Updated 2 years ago
- ☆50Updated 7 months ago
- Repository for CPU Kernel Generation for LLM Inference☆26Updated last year
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆153Updated 7 months ago
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆97Updated 8 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Updated last year
- Model REVOLVER, a human in the loop model mixing system.☆32Updated last year
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆62Updated last year
- ☆27Updated last year
- ☆125Updated last year
- vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs☆86Updated this week