samsja / pydantic_configLinks
Manage ML configuration with pydantic
☆16Updated 5 months ago
Alternatives and similar repositories for pydantic_config
Users that are interested in pydantic_config are comparing it to the libraries listed below
Sorting:
- ☆47Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆82Updated 2 years ago
- Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…☆64Updated last month
- A set of Python scripts that makes your experience on TPU better☆54Updated last month
- minimal pytorch implementation of bm25 (with sparse tensors)☆104Updated 2 weeks ago
- PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP☆138Updated 2 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆147Updated last year
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆154Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆130Updated 11 months ago
- NLP with Rust for Python 🦀🐍☆66Updated 6 months ago
- Storing long contexts in tiny caches with self-study☆213Updated last month
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆87Updated last year
- train with kittens!☆63Updated last year
- ☆21Updated 8 months ago
- Make triton easier☆48Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- 👷 Build compute kernels☆171Updated last week
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆73Updated last year
- ☆86Updated 4 months ago
- Docker image NVIDIA GH200 machines - optimized for vllm serving and hf trainer finetuning☆51Updated 8 months ago
- Benchmark suite for LLMs from Fireworks.ai☆83Updated 2 weeks ago
- Manage scalable open LLM inference endpoints in Slurm clusters☆276Updated last year
- The Batched API provides a flexible and efficient way to process multiple requests in a batch, with a primary focus on dynamic batching o…☆151Updated 4 months ago
- Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.☆18Updated 3 months ago
- An introduction to LLM Sampling☆79Updated 11 months ago
- How to ensure correctness and ship LLM generated kernels in PyTorch☆117Updated this week
- ☆91Updated last year
- ☆25Updated this week
- ☆143Updated 2 months ago
- Experiments on speculative sampling with Llama models☆126Updated 2 years ago