noamgat / lm-format-enforcer
Enforce the output format (JSON Schema, Regex etc) of a language model
☆1,546Updated last month
Related projects ⓘ
Alternatives and complementary repositories for lm-format-enforcer
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆1,634Updated this week
- TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.☆1,824Updated 2 weeks ago
- Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-…☆3,057Updated 2 months ago
- Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs☆2,205Updated this week
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.☆1,095Updated last week
- Efficient Retrieval Augmentation and Generation Framework☆1,341Updated last week
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆1,565Updated 3 months ago
- A framework for serving and evaluating LLM routers - save LLM costs without compromising quality!☆3,256Updated 3 months ago
- ReFT: Representation Finetuning for Language Models☆1,159Updated 2 weeks ago
- A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.☆700Updated 2 months ago
- Tools for merging pretrained large language models.☆4,816Updated 2 weeks ago
- Chat language model that can use tools and interpret the results☆1,429Updated this week
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆1,836Updated 5 months ago
- A blazing fast inference solution for text embeddings models☆2,846Updated 2 weeks ago
- [ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling☆1,529Updated 4 months ago
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,045Updated this week
- MTEB: Massive Text Embedding Benchmark☆1,954Updated this week
- Harness LLMs with Multi-Agent Programming☆2,664Updated this week
- Evaluate your LLM's response with Prometheus and GPT4 💯☆797Updated 2 months ago
- Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy☆899Updated last week
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,755Updated 10 months ago
- SGLang is a fast serving framework for large language models and vision language models.☆6,127Updated this week
- [EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which ach…☆4,653Updated this week
- High-performance retrieval engine for unstructured data☆982Updated last week
- Optimizing inference proxy for LLMs☆1,563Updated this week
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆811Updated this week
- The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval☆966Updated 2 months ago
- Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali☆1,473Updated this week
- Superfast AI decision making and intelligent processing of multi-modal data.☆2,115Updated this week