RahulSChand / gpu_poorLinks
Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
☆1,378Updated 10 months ago
Alternatives and similar repositories for gpu_poor
Users that are interested in gpu_poor are comparing it to the libraries listed below
Sorting:
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,260Updated 5 months ago
- DataComp for Language Models☆1,381Updated last month
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆2,056Updated last year
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,859Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,619Updated last year
- ☆964Updated 8 months ago
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,614Updated last year
- LLMPerf is a library for validating and benchmarking LLMs☆1,032Updated 10 months ago
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,903Updated this week
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,885Updated 2 months ago
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆2,021Updated this week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,318Updated 3 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,141Updated 3 weeks ago
- Minimalistic large language model 3D-parallelism training☆2,267Updated last month
- Enforce the output format (JSON Schema, Regex etc) of a language model☆1,942Updated 2 months ago
- AllenAI's post-training codebase☆3,263Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,288Updated 7 months ago
- Serving multiple LoRA finetuned LLM as one☆1,106Updated last year
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,687Updated last week
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆2,106Updated last week
- Fast, Flexible and Portable Structured Generation☆1,323Updated this week
- A library for advanced large language model reasoning☆2,292Updated 4 months ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,662Updated this week
- Arena-Hard-Auto: An automatic LLM benchmark.☆942Updated 4 months ago
- A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。☆706Updated last year
- An Open Large Reasoning Model for Real-World Solutions☆1,522Updated 4 months ago
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,970Updated 6 months ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,646Updated last year
- Data and tools for generating and inspecting OLMo pre-training data.☆1,332Updated last month
- A collection of benchmarks and datasets for evaluating LLM.☆522Updated last year