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A Dockerfile for LLM training with Unsloth

Docker image unsloth with llama.cpp installed to export gguf after model training

This Docker image is purpose-built for training and inference using Unsloth and vLLM on NVIDIA Blackwell (SM 10.0/GB10, DGX Spark) GPU architectures.

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A working Dockerfile that has unsloth with all the other dependencies

Unsloth Training Environment

Docker container with LLaMA-Factory and Unsloth

This is an experimental image to fix the data persistence in Unsloth Studio running in docker.

Dockerized Deployment of Unsloth Ai

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Unsloth usage on DGX Spark using UV and Nvidia provided base Docker image

Enterprise LLM fine-tuning platform - QLoRA + 4-bit quantization + GGUF export. 2x faster with Unsloth. Docker-ready with full auth & marketplace.

MentalLLM: Fine-tune local LLMs for mental health support using Unsloth, QLoRA, and Hugging Face. Deploy effortlessly with Ollama and FastAPI in a Dockerized environment.

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My setup for Unsloth Docker container

Unsloth LLM finetuning

test repo for docker packages

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Official Unsloth docker image on Brev Launchables

Mistral Fine Tuning utilizando unsloth, adaptado para ambiente docker.

All-in-one docker image with s6-based vLLM orchestrator and unsloth

Work out of the box docker file to setup unsloth on DGX Spark

A Docker build that takes NVIDIA's DGX Spark image and makes it like Unsloth's Docker image.

Optimized Unsloth Docker image for DGX Spark (ARM64/Blackwell) with Studio UI, FLA, and latest model support

Full-stack local LLM orchestration. Synthesize data via Constitutional AI, train efficiently with Unsloth + Muon-AdamW, and validate in a Docker sandbox. Features a modern React UI, real-time telemetry, and automated hardware profiling. The complete industrial pipeline from constitution to checkpoint.