LLM Fine-Tuning Optimization RAG Tools
Tools and frameworks for fine-tuning, quantization, and parameter-efficient adaptation of large language models (LoRA, QLoRA, DPO, distillation). Does NOT include pre-trained model inference, RAG retrieval systems, or application-specific implementations—only the model optimization techniques themselves.
There are 45 llm fine-tuning optimization tools tracked. 1 score above 70 (verified tier). The highest-rated is llmware-ai/llmware at 84/100 with 14,864 stars and 1,177 monthly downloads. 1 of the top 10 are actively maintained.
Get all 45 projects as JSON
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| # | Tool | Score | Tier |
|---|---|---|---|
| 1 |
llmware-ai/llmware
Unified framework for building enterprise RAG pipelines with small,... |
|
Verified |
| 2 |
Sinapsis-AI/sinapsis-chatbots
Monorepo for sinapsis templates supporting LLM based Agents |
|
Established |
| 3 |
aimclub/ProtoLLM
Framework for prototyping of LLM-based applications |
|
Established |
| 4 |
Azure-Samples/azureai-foundry-finetuning-raft
A recipe that will walk you through using either Meta Llama 3.1 405B or... |
|
Emerging |
| 5 |
xi029/Qwen3-VL-MoeLORA
在千问最新的多模态image-text模型Qwen3-VL-4B-Instruct... |
|
Emerging |
| 6 |
pkargupta/taxoadapt
Dynamically constructs and adapts an LLM-generated taxonomy to a given... |
|
Emerging |
| 7 |
o2alexanderfedin/neuro-symbolic-reasoning-llm-prolog
LLM-Generated Prolog Predicates with Embedded Justification Chains -... |
|
Emerging |
| 8 |
chernistry/meulex
'MEU-lex' | Slack‑native RAG copilot boilerplate |
|
Experimental |
| 9 |
chasemetoyer/gameplay-vision-llm
Multimodal gameplay video understanding system combining vision, audio, and... |
|
Experimental |
| 10 |
johnsonhk88/Deep-Research-With-Web-Scraping-by-LLM-And-AI-Agent
Use LLM/AI agent for Web scraping (collection data) and analysis data with... |
|
Experimental |
| 11 |
GURPREETKAURJETHRA/Meta-LLAMA3-GenAI-UseCases-End-To-End-Implementation-Guides
META LLAMA3 GENAI Real World UseCases End To End Implementation Guide |
|
Experimental |
| 12 |
dvdblk/hack4good-oecd
OECD Policy Document Analysis pipeline with LLMs. |
|
Experimental |
| 13 |
DiogoRibeiro7/llm-dataset-foundry
Dataset curation, quality validation, splitting, and versioning for an LLM... |
|
Experimental |
| 14 |
DiogoRibeiro7/llm-knowledge-ingestion
Ingestion and indexing layer for an LLM data platform, producing normalized... |
|
Experimental |
| 15 |
ALBERT70000/r
🔧 Connect your local LLM to 82 tools, enabling natural language requests to... |
|
Experimental |
| 16 |
llm-works/llm-kelt
Framework for collecting and managing LLM context: facts storage, feedback... |
|
Experimental |
| 17 |
zechenli03/ZARA
Official implementation of "ZARA: Zero-shot Motion Time-Series Analysis via... |
|
Experimental |
| 18 |
pd2871/End-to-End-LLM-Projects
This repo contains code related to development of LLM based projects with... |
|
Experimental |
| 19 |
antononcube/EconomicsAI
Economics AI via LLM RAG over economic articles, blog posts, or interview... |
|
Experimental |
| 20 |
AI-Governance-Lab/k8s-mlfow-demo
This repo provides a minimal production MLflow 3.3.2 stack on k3s using... |
|
Experimental |
| 21 |
CatnipCoders/Lambda-Driver
Lambda-Driver optimizes a small pre-trained model for resource-constrained... |
|
Experimental |
| 22 |
jlorenzo681/poc-lora-documentation-assistant
LoRA fine-tunning enhanced RAG documentation assistant, optimized for Apple... |
|
Experimental |
| 23 |
HTAnh2003/LLM_Powered_Video_Search
The LLM-Powered Video Search System is an advanced multimodal video search... |
|
Experimental |
| 24 |
RufelleEmmanuelPactol/Mixture-of-Experts-Transcript-Evaluator
A mixture of experts inspired transcript evaluator using LLM fine-tuning.... |
|
Experimental |
| 25 |
MasrourTawfik/DFMEA-LLM-Enhanced
This repo concerns the documentation of a project about the integration of... |
|
Experimental |
| 26 |
yui-mhcp/language_models
A Large Language Models (LLM) oriented project providing easy-to-use... |
|
Experimental |
| 27 |
gulabpatel/LLMs
Alpaca, Bloom, DeciLM, Falcon, Vicuna, Llama2, Zephyr, Mistral(MoE), RAG,... |
|
Experimental |
| 28 |
abhisheksingh-7/cotrend
Extending Decoders with an Integrated Encoder, as Part of Llama-3 Hackathon |
|
Experimental |
| 29 |
Shao0203/llm-usekit
Multi-llm app: Script generation, Chatbot, Docs RAG, Data analysis Agent. |
|
Experimental |
| 30 |
semanticClimate/llmrag
A template Github repository for running your own AI LLM RAG for a... |
|
Experimental |
| 31 |
REVA4-Research-Initiative/OpenLoRA
Introduction To OpenLoRA: Revolutionizing the Operational Training for Large... |
|
Experimental |
| 32 |
sonuramashishnpm/npmai
🚀 npmai By Sonu Kumar (Viral Boy) npmai is a lightweight Python package... |
|
Experimental |
| 33 |
nitinumaretiya123/fine-tuned-model
Fine-tuning LLMs using LoRA/QLoRA with LangChain integration and evaluation pipeline |
|
Experimental |
| 34 |
JohnMachado11/Domain-Specific-Small-Language-Models
Companion notebooks and writeups for "Domain-Specific Small Language Models... |
|
Experimental |
| 35 |
xndien2004/LLM_Powered_Video_Search
[SOICT 2024] LLM-Powered Video Search: A Comprehensive Multimedia Retrieval System |
|
Experimental |
| 36 |
dasashreeya/llama_reranker
Lightweight LoRA fine-tuning of Llama-family models as document rerankers in... |
|
Experimental |
| 37 |
CORE-Research-Lab/IC
A self deployable LLM application with our innovational IC framework (a RAG method) |
|
Experimental |
| 38 |
gstenzel/PyTruffle
Block-level Code Retrieval using LLMs |
|
Experimental |
| 39 |
skywing/llm-dev
The common setup to run LLM locally. Use llama-cpp to quantize model,... |
|
Experimental |
| 40 |
skurzyp/llm-fine-tuning-and-rag
This Python repository implements fine-tuning, LoRA, layer freezing, and RAG... |
|
Experimental |
| 41 |
tatwan/fine-tuning
All about Fine-Tuning and LLMs. The content is designed to be educational... |
|
Experimental |
| 42 |
NutriPlan-Workspace/NutriPlan_LLM
This repository handles the Large Language Model (LLM) components of the... |
|
Experimental |
| 43 |
DatarConsulting/Vashista-Sparse-Attention
Reproducibility notebook for Vashista Sparse Attention : constant-in-context... |
|
Experimental |
| 44 |
rlhinrichs/lang-learn
🗣️ Natural Language Processing: building a RAG-tuned LLM for offline use |
|
Experimental |
| 45 |
Arnav-Ajay/llm-generation-control
Explicit control and observability over when an LLM should answer, hedge, or... |
|
Experimental |