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Rlhf Python Packages

Python packages with the GitHub topic rlhf. Sorted by monthly downloads, with stars and forks.
whilehq
whileai

Scientific RL and SFT post-training for AI agents: build evals that can fail, simulate situations, judge checked against people, pass@1 with a 95% interval, train with GRPO/SFT/DPO, prove every gain on a held-out set. uv add whileai

33K 21 1
whilehq
zeroproof

Scientific RL and SFT post-training for AI agents: build evals that can fail, simulate situations, judge checked against people, pass@1 with a 95% interval, train with GRPO/SFT/DPO, prove every gain on a held-out set. uv add whileai

32K 21 1
hiyouga
llamafactory

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

17K 75K 9K
KenyonY
dtflow

Inspect, clean, transform and ship LLM training data from one CLI; dt view is the interactive entry point.

12K 6 0
Goekdeniz-Guelmez
mlx-lm-lora

Train Large Language Models on MLX.

9K 429 60
THUDM
image-reward

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

6K 2K 90
DaoyuanLi2816
pairjudge

Pairwise LLM judges (A/B/tie): budget-aware multi-turn packing, position-bias correction, pseudo-label distillation. Generalized from the 4th-place (gold) solution to Kaggle LMSYS Chatbot Arena.

6K 170 12
Kiln-AI
kiln-ai

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

5K 5K 394
transformerlab
transformerlab

The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.

3K 5K 552
fortyfive-labs
ml-dash

Scalable Training Telemetry and Metrics Visualization

3K 1 1
agentscope-ai
py-openjudge

OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards

2K 871 73
Kiln-AI
kiln-server

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

2K 5K 394
recognai
rubrix

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

2K 5K 506
saqlain2204
trloom

YAML-driven end-to-end fine-tuning on Hugging Face TRL — one config for model, dataset, W&B, and Modal GPUs.

2K 1 0
log10-io
log10-io

Python client library for improving your LLM app accuracy

1K 97 12
argilla-io
argilla-server

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

1K 5K 508
transformerlab
transformerlab-cli

The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.

973 5K 552
crusoecloud
langchain-crusoe

The Crusoe Developer Hub is the technical home for developers building AI applications and infrastructure on Crusoe Cloud. We publish three kinds of content here: foundational lessons that explain how things work, runnable examples that complete a task end to end, and integrations that connect Crusoe to the tools you already use.

930 6 2
dannylee1020
openpo

Synthetic data for fine tuning LLM

758 28 0
hiyouga
llmtuner

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

758 75K 9K
sail-sg
oat-llm

🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.

691 673 63
voidful
textrl

Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-176B/bloom/gpt/bart/T5/MetaICL)

685 565 61
crusoecloud
mlflow-crusoe

The Crusoe Developer Hub is the technical home for developers building AI applications and infrastructure on Crusoe Cloud. We publish three kinds of content here: foundational lessons that explain how things work, runnable examples that complete a task end to end, and integrations that connect Crusoe to the tools you already use.

596 6 2
agentscope-ai
trinity-rft

Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).

425 708 84
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    • Sources & methodology