Principle:Unslothai Unsloth Hub Upload

Knowledge Sources	Unsloth HuggingFace Hub
Domains	Model_Deployment, Model_Sharing
Last Updated	2026-02-07 00:00 GMT

Overview

A model distribution technique that uploads merged or quantized models to HuggingFace Hub with auto-generated model cards and repository metadata.

Description

Hub upload enables sharing fine-tuned models with the community or deploying them to HuggingFace Inference Endpoints. The process:

1. Merge and Save: Locally merges LoRA weights (if needed) and saves the model.
2. Repository Creation: Creates or updates a HuggingFace Hub repository.
3. File Upload: Uploads model weights, config, tokenizer, and model card.
4. Model Card Generation: Auto-generates a model card with training metadata, base model info, and Unsloth attribution.

Supports both SafeTensors (push_to_hub_merged) and GGUF (push_to_hub_gguf) upload workflows.

Usage

Use after training when you want to share or deploy the model publicly or privately on HuggingFace Hub. Requires a HuggingFace authentication token with write permissions.

Theoretical Basis

Hub upload is a distribution mechanism, not an algorithmic technique. The key workflow is:

# Abstract Hub upload pipeline
model_dir = merge_and_save(model, tokenizer)
repo = create_or_update_repo(repo_id, private=False)
upload_files(repo, model_dir)
generate_model_card(repo, base_model, training_params)

Related Pages

Implemented By

• Implementation:Unslothai_Unsloth_Push_To_Hub_Merged