LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models
GraphCanon updated 3w · GitHub synced 3w
Decision brief
LMFlow is an extensible Python toolkit for fine-tuning and inference on large foundation models with Gradio-based chatbot deployment.
Good fit when
- You require an extendable framework to fine-tune or conduct inference operations on large foundational models where a user-friendly chatbot UI can be integrated using Gradio.
- Your project necessitates the use of pre-trained language models paired with instruction following capabilities, and you are working within projects that benefit from an Apache-2.0 licensed toolkit.
Avoid when
- You do not need a Python-based solution for your large foundation model tasks, or if your projects specifically require languages other than Python.
- Your project requires commercial use with simplified authorization processes, since LMFlow demands signing a specific document to obtain authorization for commercial use.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (72d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- 74 low (74 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install LMFlowSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
LMFlow is an extensible Python toolkit aimed at finetuning and inference operations on large foundation models, featuring support for chatbot deployment with Gradio.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 3, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 3, 2026)
python ./examples/chatbot_gradio.py --deepspeed configs/ds_config_chatbot.json --modelSource link
Tags
README
Deployment
If you want to deploy your own model locally, we provide a gradio-based UI for building chatbots. Running the following command will launch the demo for robin-7b:
pip install gradio
python ./examples/chatbot_gradio.py --deepspeed configs/ds_config_chatbot.json --model_name_or_path YOUR-LLAMA --lora_model_path ./robin-7b --prompt_structure "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.###Human: {input_text}###Assistant:" --end_string "#" --max_new_tokens 200
License
The code included in this project is licensed under the Apache 2.0 license. If you wish to use the codes and models included in this project for commercial purposes, please sign this document to obtain authorization.
For agents
This page has a .md twin and JSON over the API.