Alternatives and similar repositories for llm-finetuning

Users that are interested in llm-finetuning are comparing it to the libraries listed below

• mlabonne / llm-autoeval
  Automatically evaluate your LLMs in Google Colab
  ☆677Updated last year
• philschmid / easyllm
  ☆469Updated 2 years ago
• VikParuchuri / textbook_quality
  Generate textbook-quality synthetic LLM pretraining data
  ☆508Updated 2 years ago
• jxnl / n-levels-of-rag
  ☆198Updated last year
• abacaj / fine-tune-mistral
  Fine-tune mistral-7B on 3090s, a100s, h100s
  ☆722Updated 2 years ago
• arthur-ai / bench
  A tool for evaluating LLMs
  ☆428Updated last year
• run-llama / finetune-embedding
  Fine-Tuning Embedding for RAG with Synthetic Data
  ☆521Updated 2 years ago
• ray-project / llmperf-leaderboard
  ☆474Updated last year
• arcee-ai / DALM
  Domain Adapted Language Modeling Toolkit - E2E RAG
  ☆334Updated last year
• FastEval / FastEval
  Fast & more realistic evaluation of chat language models. Includes leaderboard.
  ☆189Updated 2 years ago
• mistralai-sf24 / hackathon
  ☆446Updated last year
• pacman100 / LLM-Workshop
  LLM Workshop by Sourab Mangrulkar
  ☆398Updated last year
• scaleapi / llm-engine
  Scale LLM Engine public repository
  ☆818Updated last week
• carlini / yet-another-applied-llm-benchmark
  A benchmark to evaluate language models on questions I've previously asked them to solve.
  ☆1,036Updated 8 months ago
• jondurbin / airoboros
  Customizable implementation of the self-instruct paper.
  ☆1,051Updated last year
• KarelDO / xmc.dspy
  In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.
  ☆444Updated last year
• tomaarsen / attention_sinks
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
  ☆733Updated last year
• georgian-io / LLM-Finetuning-Toolkit
  Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
  ☆865Updated last year
• apoorvumang / prompt-lookup-decoding
  ☆583Updated last year
• predibase / llm_distillation_playbook
  Best practices for distilling large language models.
  ☆595Updated last year
• SkunkworksAI / hydra-moe
  ☆416Updated 2 years ago
• parlance-labs / ftcourse
  ☆170Updated last year
• ayulockin / neurips-llm-efficiency-challenge
  Starter pack for NeurIPS LLM Efficiency Challenge 2023.
  ☆129Updated 2 years ago
• run-llama / ai-engineer-workshop
  ☆187Updated 2 years ago
• prometheus-eval / prometheus-eval
  Evaluate your LLM's response with Prometheus and GPT4 💯
  ☆1,022Updated 8 months ago
• rmihaylov / falcontune
  Tune any FALCON in 4-bit
  ☆465Updated 2 years ago
• deep-diver / llamaduo
  [ACL'25] Official Code for LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs
  ☆314Updated 5 months ago
• Leeroo-AI / mergoo
  A library for easily merging multiple LLM experts, and efficiently train the merged LLM.
  ☆500Updated last year
• georgesung / llm_qlora
  Fine-tuning LLMs using QLoRA
  ☆266Updated last year
• sabetAI / BLoRA
  batched loras
  ☆347Updated 2 years ago