NolanoOrg / sparse_quant_llmsLinks
SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia
☆41Updated 2 years ago
Alternatives and similar repositories for sparse_quant_llms
Users that are interested in sparse_quant_llms are comparing it to the libraries listed below
Sorting:
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆102Updated 2 years ago
- QuIP quantization☆61Updated last year
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated 2 years ago
- Repository for CPU Kernel Generation for LLM Inference☆27Updated 2 years ago
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆33Updated last year
- ☆53Updated last year
- Spherical Merge Pytorch/HF format Language Models with minimal feature loss.☆141Updated 2 years ago
- Structural Pruning for LLaMA☆54Updated 2 years ago
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- Experiments on speculative sampling with Llama models☆127Updated 2 years ago
- ☆50Updated last year
- Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆40Updated last year
- RWKV-7: Surpassing GPT☆100Updated last year
- Exploring finetuning public checkpoints on filter 8K sequences on Pile☆116Updated 2 years ago
- Efficient 3bit/4bit quantization of LLaMA models☆19Updated 2 years ago
- QLoRA: Efficient Finetuning of Quantized LLMs☆79Updated last year
- Code for the paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot" with LLaMA implementation.☆71Updated 2 years ago
- ☆39Updated last year
- ☆128Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees" adapted for Llama models☆41Updated 2 years ago
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)☆147Updated last year
- Token Omission Via Attention☆127Updated last year
- Code repository for the c-BTM paper☆108Updated 2 years ago
- Reorder-based post-training quantization for large language model☆197Updated 2 years ago
- Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answe…☆157Updated last year
- Multi-Domain Expert Learning☆67Updated last year
- A repository for research on medium sized language models.☆78Updated last year
- A large-scale RWKV v7(World, PRWKV, Hybrid-RWKV) inference. Capable of inference by combining multiple states(Pseudo MoE). Easy to deploy…☆45Updated last month