migtissera / SenseiLinks
Generate Synthetic Data Using OpenAI, MistralAI or AnthropicAI
☆222Updated last year
Alternatives and similar repositories for Sensei
Users that are interested in Sensei are comparing it to the libraries listed below
Sorting:
- ☆161Updated last month
- This is our own implementation of 'Layer Selective Rank Reduction'☆240Updated last year
- ☆116Updated 8 months ago
- Low-Rank adapter extraction for fine-tuned transformers models☆176Updated last year
- ☆135Updated last year
- Function Calling Benchmark & Testing☆89Updated last year
- Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vecto…☆246Updated 6 months ago
- function calling-based LLM agents☆287Updated 11 months ago
- An easy-to-understand framework for LLM samplers that rewind and revise generated tokens☆146Updated 6 months ago
- A fast batching API to serve LLM models☆187Updated last year
- Dataset Crafting w/ RAG/Wikipedia ground truth and Efficient Fine-Tuning Using MLX and Unsloth. Includes configurable dataset annotation …☆185Updated last year
- an implementation of Self-Extend, to expand the context window via grouped attention☆118Updated last year
- autologic is a Python package that implements the SELF-DISCOVER framework proposed in the paper SELF-DISCOVER: Large Language Models Self…☆60Updated last year
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆232Updated 10 months ago
- Just a bunch of benchmark logs for different LLMs☆119Updated last year
- Convenient wrapper for fine-tuning and inference of Large Language Models (LLMs) with several quantization techniques (GTPQ, bitsandbytes…☆145Updated last year
- ☆316Updated last month
- Fast parallel LLM inference for MLX☆216Updated last year
- A multimodal, function calling powered LLM webui.☆216Updated 11 months ago
- Some simple scripts that I use day-to-day when working with LLMs and Huggingface Hub☆161Updated last year
- Synthetic Data for LLM Fine-Tuning☆120Updated last year
- Auto Data is a library designed for quick and effortless creation of datasets tailored for fine-tuning Large Language Models (LLMs).☆102Updated 10 months ago
- Let's create synthetic textbooks together :)☆75Updated last year
- ☆132Updated 4 months ago
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆102Updated last year
- ⛓️ build cognitive systems, pythonic☆339Updated 9 months ago
- Full finetuning of large language models without large memory requirements☆94Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers QLoRA☆124Updated 2 years ago
- Merge Transformers language models by use of gradient parameters.☆208Updated last year
- A comprehensive repository of reasoning tasks for LLMs (and beyond)☆450Updated 11 months ago