kotak-ai / 1.58BitNetLinks
Experimental BitNet Implementation
☆65Updated this week
Alternatives and similar repositories for 1.58BitNet
Users that are interested in 1.58BitNet are comparing it to the libraries listed below
Sorting:
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆154Updated 7 months ago
- 1.58-bit LLaMa model☆81Updated last year
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆199Updated 10 months ago
- Train your own small bitnet model☆71Updated 7 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆275Updated last year
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆238Updated last year
- This is our own implementation of 'Layer Selective Rank Reduction'☆239Updated last year
- 1.58 Bit LLM on Apple Silicon using MLX☆213Updated last year
- Low-Rank adapter extraction for fine-tuned transformers models☆171Updated last year
- GPT-2 small trained on phi-like data☆66Updated last year
- The simplest, fastest repository for training/finetuning medium-sized xLSTMs.☆41Updated last year
- ☆130Updated 2 months ago
- PyTorch implementation of models from the Zamba2 series.☆182Updated 4 months ago
- Convenient wrapper for fine-tuning and inference of Large Language Models (LLMs) with several quantization techniques (GTPQ, bitsandbytes…☆147Updated last year
- Implementation of mamba with rust☆85Updated last year
- ☆130Updated 9 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆272Updated 2 weeks ago
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆103Updated 2 years ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆218Updated 4 months ago
- An easy-to-understand framework for LLM samplers that rewind and revise generated tokens☆140Updated 3 months ago
- RWKV-7: Surpassing GPT☆88Updated 6 months ago
- Comparison of the output quality of quantization methods, using Llama 3, transformers, GGUF, EXL2.☆153Updated last year
- PB-LLM: Partially Binarized Large Language Models☆152Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees" adapted for Llama models☆35Updated last year
- Fast parallel LLM inference for MLX☆189Updated 11 months ago
- ☆121Updated 2 months ago
- Code for the paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot" with LLaMA implementation.☆70Updated 2 years ago
- Micro Llama is a small Llama based model with 300M parameters trained from scratch with $500 budget☆151Updated last year
- Inference of Mamba models in pure C☆187Updated last year
- Let's create synthetic textbooks together :)☆75Updated last year