LeanModels / DFloat11Links
DFloat11: Lossless LLM Compression for Efficient GPU Inference
☆405Updated 2 weeks ago
Alternatives and similar repositories for DFloat11
Users that are interested in DFloat11 are comparing it to the libraries listed below
Sorting:
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆639Updated last month
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆272Updated 2 weeks ago
- Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling☆367Updated 2 weeks ago
- Efficient LLM Inference over Long Sequences☆376Updated last week
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆463Updated 3 months ago
- Model Compression Toolbox for Large Language Models and Diffusion Models☆489Updated 2 months ago
- LLM Inference on consumer devices☆115Updated 2 months ago
- KV cache compression for high-throughput LLM inference☆129Updated 4 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆199Updated 10 months ago
- llama.cpp fork with additional SOTA quants and improved performance☆519Updated this week
- A safetensors extension to efficiently store sparse quantized tensors on disk☆117Updated this week
- ☆130Updated 2 months ago
- prime-rl is a codebase for decentralized async RL training at scale☆318Updated this week
- Production ready LLM model compression/quantization toolkit with hw accelerated inference support for both cpu/gpu via HF, vLLM, and SGLa…☆590Updated last week
- kernels, of the mega variety☆329Updated this week
- ☆210Updated 4 months ago
- Muon is Scalable for LLM Training☆1,052Updated 2 months ago
- Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs☆166Updated 2 weeks ago
- ☆194Updated last month
- Dream 7B, a large diffusion language model☆703Updated last month
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆237Updated 4 months ago
- PyTorch implementation of models from the Zamba2 series.☆182Updated 4 months ago
- Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU. Seamlessly integrated with Torchao, Tra…☆483Updated this week
- Fast low-bit matmul kernels in Triton☆311Updated this week
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems☆374Updated this week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆690Updated 3 months ago
- TransMLA: Multi-Head Latent Attention Is All You Need☆284Updated this week
- Perplexity GPU Kernels☆324Updated 2 weeks ago
- 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"☆686Updated 2 months ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆818Updated this week