Unsloth v0.1.916-beta

Unsloth is an open-source AI platform for running and training open models locally. It combines Unsloth Studio, a graphical interface for running and training models, with Unsloth Core, a code-based library for fine-tuning and machine learning workflows. It supports language, vision, audio, embedding, and diffusion models across Windows, Linux, WSL, and macOS.

The project is particularly focused on making model fine-tuning more efficient by reducing memory usage and improving training performance. It can also run local models and connect them to coding agents and other tools.

Features

Unsloth provides a graphical environment for downloading, running, and training open models. Users can search for models, run them locally, fine-tune them, and export the resulting models to formats such as GGUF and safetensors.

Key features include:

• Local LLM inference

• LLM fine-tuning

• Vision and multimodal models

• Audio models

• Embedding models

• Diffusion models

• GGUF support

• MLX support

• LoRA and other fine-tuning workflows

• Model export

• RAG

• Web search

• Tool calling

• Code execution

• MCP support

• Multi-GPU support

• Claude Code integration

• OpenAI Codex integration

• OpenCode integration

• Docker support

• Self-hosted web interface

• Python API and notebooks

Unsloth Start can connect local models to supported AI coding agents, allowing tools such as Claude Code and Codex to use models running through Unsloth.

The platform also supports several hardware backends. The project lists NVIDIA, AMD, Intel, CPU, and Vulkan support, although capabilities differ depending on the hardware and workload.

Download Unsloth v0.1.916-beta - Software Mirrors
Unsloth v0.1.916-beta for Windows Unsloth-Desktop-Windows.exe | 20.68 MB Unsloth-Desktop-Windows-ARM64.exe | 20.06 MB
Unsloth v0.1.916-beta for macOS Unsloth-Desktop-MacOS.dmg | 21.19 MB
Unsloth v0.1.916-beta for Linux Unsloth-Desktop-Ubuntu.deb | 22.56 MB Unsloth-Desktop-Ubuntu-ARM64.deb | 22.3 MB Unsloth-Desktop-Linux.AppImage | 169.56 MB
Others Download related to Unsloth v0.1.916-beta Unsloth-Desktop-ARM64.app.tar.gz | 20.96 MB
Unsloth v0.1.916-beta Source Code Unsloth v0.1.916-beta Source code (zip) Unsloth v0.1.916-beta Source code (tar.gz)
Unsloth v0.1.916-beta Release Notes: This release brings large performance fixes across Unsloth: faster typing and search in long chats, faster image/video loads, two-GPU image/video gen. It also adds separate browsers for each chat, floating browser window. Highlights Large performance fixes with more Glass theme optimizations coming next week Glass theme fixes no more blur, better rendering, more options Unified memory offloading now properly works for big models Separate browsers for each chat - Multiple chats can now run their own browser individually Floating browser you can move and resize over the chat & let the model do it's thing Dynamic V3.1 Qwen3.8-Flash - 50% less token use, 15% more accurate Two-GPU image and video up to 2x faster on matching NVIDIA cards Faster chat search and deleting - search and delete chats much faster Stable diffusion image/video models loads up to 40% faster LTX-2.5 video much faster for new prompts on 16 to 24 GB GPUs Chat performance Typing in a long chat no longer lags when a Glass theme or chat background is on. Chat search stays fast on very long histories instead of failing to load. Clearing and deleting chats is much faster on large histories. The first use of voice or audio features after launch no longer freezes a streaming reply for seconds. Read aloud with the Unsloth model engine no longer waits seconds on a model lookup before speaking. Glass themes over a background image respond up to 2x faster without GPU rendering, as on some Linux desktops. Images and video With two matching, idle NVIDIA GPUs, models such as SDXL, Qwen-Image and Wan2.2 5B run half of each step on the second card when they fit on one, about 1.5 to 1.8x faster. On the same setup, FLUX and Lumina 2 split an even-sized batch of images across both cards. SDXL loads up to 40% faster, so the first image arrives sooner. On 16 to 24 GB GPUs, LTX-2.5 encodes new prompts on the GPU instead of the CPU, so a clip with a new prompt renders much faster. LTX-2.5 GGUF Q8_0 video renders about 10% faster on NVIDIA GPUs, with identical frames. Repeat renders with the same LoRA are faster when the model is not quantized, GGUF or offloaded. Some image models, such as FLUX and Z-Image, render faster on Linux with AMD RDNA3 and RDNA4 GPUs. New in Unsloth Float the built-in browser over the chat as a small window you can move and resize; each chat remembers whether it floats. Load Anima, Chroma, MOSS-Image and Krea 2 image models from single-file checkpoints, with LoRA and LoKR files for all but Chroma. Glass themes dim the background image instead of blurring it, and controls on other pages match the chat's glass. Owners can rename a managed account without losing its chats, files or settings. Owners can cap model download speed in Settings > General > Downloads. OpenAI-compatible connections can send custom headers. Fixes On chat-only installs with a non-GGUF model already downloaded, the first chat fetches the default model instead of failing. GGUF models on CPU-only machines no longer run out of memory with Auto context. On Windows, HTTPS downloads resume after a pause or interruption instead of starting over. Updating Unsloth on Windows no longer sits silent for half a minute at the end. Connecting Blender through MCP works again. Compare mode no longer leaves one pane empty on the first message. Training and library In Python, model.generate() for Llama, Qwen2 and Qwen3 models is faster by default on NVIDIA GPUs under Linux, up to several times for small models. Training on a Hub dataset split into hundreds of files starts up to a minute sooner. With Assistant completions only, answers that start with a newline are no longer left out of training. Download Unsloth Desktop Unsloth Desktop is free and open source. Download it for: -- Platform -- Link -- Windows -- Download -- macOS -- Download -- Linux x64 / Ubuntu (deb) -- Download -- Linux ARM64 / Ubuntu 24.04+ (deb) -- Download -- Linux x64 (AppImage) -- Download -- Windows ARM64 -- Download What's Changed Bump install.sh / install.ps1 pins to unsloth>=2026.11.2 by @danielhanchen in #16688 Carry the float8 training mode into the parallel capability query by @danielhanchen in #16637 Studio: send custom headers on remote connections by @Souravrajvi0 in #15097 Studio: fold an unchanged LoRA set into a resident denoiser, restore it exactly before a change by @danielhanchen in #16675 Refuse tensor parallel on blocks that own parameters in the registry by @danielhanchen in #16638 Kernels: keep sequence length out of Triton specialization in the RoPE kernels by @danielhanchen in #16690 Studio: keep Qwen-Image's bf16 text encoder automatically when the card has room by @danielhanchen in #16678 Studio: read the SDXL v-prediction markers beside the weight load and once per commit, skip the UNet scheme probe by @danielhanchen in #16696 Studio video small host: price the encoder converted beside the cast misses, cast an oversized DiT from its source shards by @danielhanchen in #16700 Native quant tests: make peft see torchao as absent when the test blocks it by @danielhanchen in #16704 Studio: decode escaped text in spreadsheet previews by @DimitriChrysafis in #16592 Studio: preserve refusal messages in imported chats by @DimitriChrysafis in #16599 Capability registry: refuse tensor parallel where tp_native cannot shard, and add the zoo MoE families by @danielhanchen in #16709 README: say UNSLOTH_LLAMA_CPP_BACKEND picks the GGUF chat build, not PyTorch by @LeoBorcherding in #14256 Studio: state the audio memory estimate in placement refusals by @debojyoti-dev in #16628 Decode with CUDA graphs by default in plain generate(), with memory release and an eager fallback by @danielhanchen in #16691 Studio diffusion: CFG-parallel for U-Net families (SDXL) by batch split by @danielhanchen in #16679 Studio diffusion: Automatic arms CFG-parallel on an idle card of the same model by @danielhanchen in #16680 Studio diffusion: CFG-parallel for a group-offloaded denoiser by @danielhanchen in #16681 Studio diffusion: Automatic partner card, FLUX batch split, LoRA scale mirror, CFG batching fallback by @danielhanchen in #16682 Studio diffusion: Automatic prefers one card plus a second-card copy over a layer split for FLUX when the primary holds the whole denoiser by @danielhanchen in #16687 Pipeline parallel: weight the MoE router aux loss per accumulation step as the model forward does by @danielhanchen in #16708 Scan baseline: re-review the five unsloth-zoo sites 2026.11.2 moved by @danielhanchen in #16732 Kaggle Studio GPU CI: request hardware detection after sign-in by @danielhanchen in #16728 Studio video: report the dense bf16 text encoder when the automatic hosted fp8 encoder cannot be fetched by @danielhanchen in #16724 CPU backend: honour unsloth_tiled_mlp and UNSLOTH_TILED_MLP in FastLanguageModel.from_pretrained by @danielhanchen in #16731 Notebooks CI: refresh the Colab oracle snapshot to the torch 2.14.1 GPU runtime by @danielhanchen in #16738 CPU backend: install the every_n_layers gradient checkpointing router by @danielhanchen in #16730 Context parallel: compiled layers follow each packed row under Ulysses by @danielhanchen in #16733 Studio: load NVFP4 diffusion checkpoints from .safetensors only by @danielhanchen in #16739 Studio: stop silently dropping earlier replies sent as item references by @NilayYadav in #16694 Studio: keep the typed message when picking a saved prompt by @NilayYadav in #16695 Studio: show the chat background in conversations on Windows at 100% scaling by @LeoBorcherding in #16702 Keep reasoning when formatting chats with the gemma-4-thinking template by @NilayYadav in #16701 Studio: run each Compare model with its own recommended sampling by @NilayYadav in #16686 Multi-account Playwright: an aborted /login must not use up the stalled-load retry by @danielhanchen in #16768 Studio: answer Refresh and Edit in a Compare pane with its own model by @NilayYadav in #16698 Context parallel: no graph break in compiled Ulysses attention on packed rows by @danielhanchen in #16734 Hide the Model hub scroll fade in glass themes by @Imagineer99 in #16780 Studio: glass theme dims the wallpaper instead of blurring it, page controls take the model button glass, Reduce motion off by default by @shimmyshimmer in #16751 Studio: let an approved Python call reach a host outside the sandbox allowlist by @danielhanchen in #16674 Studio: rename a managed account without recreating it by @danielhanchen in #16668 Bump trufflesecurity/trufflehog in / by @dependabot[bot] in #16778 Bump step-security/harden-runner in / by @dependabot[bot] in #16777 Bump docker/login-action in / by @dependabot[bot] in #16776 Add opt-in BF16 AdamW with stochastic parameter updates by @danielhanchen in #16662 Studio: floating monitors stay under the pointer and land without a flash by @shimmyshimmer in #16781 open_login test: bring its own Playwright error types so a leaked stub cannot break it by @danielhanchen in #16784 GRPO: keep packed forwards off for models that mix tokens across packed rows by @lonexreb in #16349 Studio: search for llama-server once per Decision API settings answer by @danielhanchen in #16617 Desktop: keep the bundled AppImage tray loader off the host's Ayatana by @debojyoti-dev in #16613 Studio: fingerprint the same manifest scopes the downgrade migration scan reads by @danielhanchen in #16556 Studio: the in-app browser can float over the chat as a small, resizable window by @shimmyshimmer in #16775 Studio MLX images: faster GGUF to MLX bit packing, byte-identical output by @danielhanchen in #16746 Studio: skip the NVML memory probe child when CUDA_VISIBLE_DEVICES is blank by @danielhanchen in #16597 Studio: list a GGUF repo once for the mmproj, MTP, DSpark and DFlash lookups of one load by @danielhanchen in #16565 Studio: read each thread's stored messages once per chat re-import by @danielhanchen in #16615 Studio remote-code scan: read each Hub config once per scan request by @danielhanchen in #16606 Studio RAG: reuse one rag.db connection per thread within a linked-folder sync pass by @danielhanchen in #16607 Studio: browser dictation in Chrome no longer repeats the last word by @NilayYadav in #16685 Studio: judge an HSA_OVERRIDE_GFX_VERSION GPU by its override in the cold engine status by @danielhanchen in #16670 perf(studio): queue MLX prompt-cache snapshots without waiting on the GPU by @Lyxot in #16683 Studio: keep cancelled fine-tuning jobs in paginated results by @Max-Reisinger in #16633 Studio: read adapter_config.json once per inference worker load by @danielhanchen in #16604 Studio: load Anima, Chroma, MOSS-Image and int4 Krea 2 ComfyUI single files by @oobabooga in #16710 Studio: fix two first-use regressions from deferred startup hardware detection by @danielhanchen in #16629 perf(studio): stream MLX VLM SentencePiece tokens as they are sampled by @Lyxot in #16684 Studio: quantize Qwen-Image-2.1-Turbo NVFP4 with the Qwen-Image-2.1 layer policy by @danielhanchen in #16757 Studio: size more audio.cpp music models from measured peaks and show the load estimate in the picker by @oobabooga in #16726 Studio: answer the first Compare message in both panes by @NilayYadav in #16693 Studio: fit Auto context to system RAM on CPU-only machines by @NilayYadav in #16689 Fused LoRA backward: skip the gradient GEMMs of a frozen A or B by @danielhanchen in #16752 Studio: reuse an identical llama-server prompt count within a tool round by @danielhanchen in #16756 Decode: CUDA-graph replay for Qwen2 models by @danielhanchen in #16753 Studio diffusion: stream the LTX-2.5 encoder, cache and trim FLUX.3 prompt encodes by @danielhanchen in #16750 Studio video: denormalize decoded frames slice by slice in the uint8 export by @danielhanchen in #16748 Avoid duplicate successful sandbox probes during refresh by @heychaeyin in #16735 Studio: move MLX to mlx-vlm 0.7.12 and serve mlx-vlm-only text families by @Lyxot in #16765 Studio diffusion: fused FLUX AdaLN on by default on NVIDIA Linux (2.4% per eager step, fp32 error unchanged) by @danielhanchen in #16760 Studio diffusion: TF32 matmuls on the default speed tier, not only max by @danielhanchen in #16762 Studio video: MiniMax-H3 int8 video decoder on by default (30-33% faster decode, LPIPS 0.0004-0.0013) by @danielhanchen in #16764 Studio multi-GPU: split an even Lumina 2 batch across two cards (1.7-2.1x, fp-order only) by @danielhanchen in #16786 Studio video: keep a streamed LTX-2 denoiser partly resident per request (21% faster per step) by @danielhanchen in #16787 Studio Images: pin the parked SAM 3 copy with registered host memory by default (unpark 0.36 -> 0.14 s) by @danielhanchen in #16791 Diffusion autoopt parity: add tf32 to the Anima and Chroma default-tier rows by @danielhanchen in #16838 Studio: apply ComfyUI LoRA and LoKR files to Anima, Krea 2 and MOSS-Image by @oobabooga in #16711 Studio diffusion: fuse the SwiGLU product into the down projection's act quant on untuned sm80+ archs by @danielhanchen in #16785 Studio sd.cpp: --mmap for CPU renders on builds whose --mmap keeps the CPU repack by @danielhanchen in #16758 Studio CPU diffusion: one thread per logical CPU on small SMT hosts, for sd.cpp and torch (1.03x to 1.26x) by @danielhanchen in #16774 Studio: int8 activations on T4 for Qwen-Image-Edit (2.03x per step) by @danielhanchen in #16813 Studio diffusion: compiled int8 W8A8 linear on RDNA3 / RDNA4 ROCm (Qwen-Image-2.1 int8 21% faster per step on gfx1151, now ahead of bf16) by @danielhanchen in #16825 Studio: install flash-attn's Triton AMD backend on ROCm RDNA3 / RDNA4 (10-15% faster diffusion steps on gfx1151) by @danielhanchen in #16767 Studio video: opt-in Sol-H3-VAE decoder for MiniMax-H3 by @danielhanchen in #16747 Studio video: decode the VAE untiled on CPU hosts when it fits in RAM (Wan2.2 VAE decode 1.5x) by @danielhanchen in #16766 Studio: label the Chroma and Anima families in the family picker by @danielhanchen in #16809 Parallel capabilities: follow the measured composition evidence (packed CP, Unsloth checkpoint, tiling, block swap) by @danielhanchen in #16773 Studio tests: check family picker labels in backend CI, where families are added by @danielhanchen in #16856 FP8 LoRA test: expect the kernel route when unsloth_zoo drops HF output flags by @danielhanchen in #16855 CPU backend: context parallelism engages (or refuses) instead of silently running DDP; CP modules import by @danielhanchen in #16802 Studio sd.cpp installer: retry a transient download failure before stepping down to the CPU build by @danielhanchen in #16788 Studio sd.cpp: read the linked CUDA major from DT_NEEDED so a CUDA 13 build gets no cu12 cuDNN by @danielhanchen in #16789 Studio bookmarks test: click Follow link again when the click does not navigate by @danielhanchen in #16858 Studio diffusion training: no per-micro-step host syncs, one decode per cached image, streamed int8 base load by @danielhanchen in #16763 Studio: let the floating browser go anywhere, and float per chat by @shimmyshimmer in #16859 Studio video memory plan: count the forward's headroom before keeping whole-module offload by @danielhanchen in #16805 Studio MiniMax-H3: price the slab compaction against the host reserve so a 16 GiB L4 render is not OOM-killed by @danielhanchen in #16849 Studio chat UI test: drag the monitor grip again when a native resize stops early by @danielhanchen in #16861 Studio diffusion: protect the first and last NVFP4 steps by default on sm_100-class cards (W4A16 auto) by @danielhanchen in #16759 Studio: prompt More menu for Fork and Bookmark, and no composer scrollbar flash by @shimmyshimmer in #16866 Mac CI: run the permission and loaded-models indicator suites alongside the UI suites by @sfjchen in #15703 Installer mirror test: bound the probe speed by the batch time, not a fixed 1 KiB/s by @danielhanchen in #16871 Pipeline parallel on CPU: run the chunked cross entropy on the last stage by @danielhanchen in #16846 Studio LTX-2.5: release the server's cached GPU blocks before an encode, so later prompts stop encoding on the CPU by @danielhanchen in #16804 Studio LTX-2.5: keep a streamed denoiser partly resident per request by @danielhanchen in #16845 Studio diffusion: measured activations for Lumina-Image-2.0 (int8 stays resident on 16-24 GB cards, ~3% per render) by @danielhanchen in #16808 Context parallel: give decoder layers no mask inside a CP step so block compile keeps one graph on packed rows by @danielhanchen in #16862 Studio: name the runtime and its release in the runtime update card by @shimmyshimmer in #16880 Studio: clear the API key when the connection type changes by @NilayYadav in #16842 Studio: stop read aloud from waiting on a model catalog rescan by @oobabooga in #16831 Fix slow typing in long chats on Windows by @Imagineer99 in #16656 Pipeline parallel: refuse the MoE router aux loss over several micro-batches at Trainer init by @danielhanchen in #16822 Context parallel: accept Unsloth's fast Qwen3 attention and compiled FastModel attention by @danielhanchen in #16870 Studio: CI gate that fails when typing in a long chat gets slower as the chat grows by @danielhanchen in #16801 Studio: draw nothing for the glass lens when it is Off (glass 1.4 to 2.1x faster without GPU rendering) by @oobabooga in #16852 Studio: probe STT Transformers availability off the event loop by @danielhanchen in #16783 Studio: round the MLX warmup and eval ratios up like transformers by @vineethsaivs in #16827 Studio: build the video backend off the event loop in /video/status by @danielhanchen in #16792 Studio MiniMax-H3: opt-in FlashInfer SM120 fused block kernels for FP8 and NVFP4 by @danielhanchen in #16875 Studio: validate each dataset snapshot once per provenance attestation by @danielhanchen in #16790 Studio: show the OpenAI thinking summary once by @NilayYadav in #16841 Studio: keep fine-tuning jobs in order when a batch starts ahead of them by @NilayYadav in #16832 Studio: read unread scheduled replies aloud when opened by @oobabooga in #16847 Studio audio analyze: screen the true peak in float32 and convolve only the candidate outputs by @danielhanchen in #16794 Studio: resume paused and interrupted model downloads on Windows by @NilayYadav in #16828 Studio: update the NPU runtime, harden its pin updates, and polish the NPU UI by @oobabooga in #16834 get_chat_template: apply mapping when the role key is not renamed by @vineethsaivs in #16425 Studio: run Chroma's ComfyUI fp8 files in fp8, as ComfyUI does by @oobabooga in #16872 Studio: let unsloth start dsh install DeepSeek Harness on Node 22 by @NilayYadav in #16844 Legacy CLI: accept --dtype None on every backend, not only MLX by @vineethsaivs in #15775 RL patch pass: skip the whole-module ast.parse when reading trainer class source on Python < 3.13 by @danielhanchen in #16806 Studio: index FK child columns, partial index for the run lease sweep, keep the inventory clean on Deep Research start by @danielhanchen in #16795 TextPreprocessor.add_structure_tokens: leave fenced code blocks alone by @vineethsaivs in #16697 Studio RAG: batch llama-server token counts and encode the auto-inject query once by @danielhanchen in #16812 RL class source: parse the code above a class with ast.parse, not a dynamic compile() by @danielhanchen in #16896 install.ps1: delete the committed venv rollback in a background process by @danielhanchen in #16796 Unsloth Studio: keep chat search fast on long histories by not shipping tool images and widget seeds to the index by @LeoBorcherding in #16848 Studio: make the claude mcp add command work in every project by @NilayYadav in #16839 Studio: decode the Transformers chat stream incrementally instead of re-decoding the current line per token by @danielhanchen in #16800 Load path: read an adapter's base config through the probe memo, skip the remote mapper for unknown LoRA bases in Studio by @danielhanchen in #16793 Studio GGUF: fuse Q8_0 dequant and cast into one kernel (LTX-2.5 Q8_0 denoise -12%, bit-identical) by @danielhanchen in #16884 Studio chat UI test: wait for the monitor size limits before the resize, and report them by @danielhanchen in #16885 Studio: ask before Python runs blocked shell commands via __import__ by @NilayYadav in #16840 Studio: test that the picker keeps a Hub search tab when a local model lands by @mrityu75 in #14180 Studio: ask to update Codex when it is too old for unsloth start codex by @NilayYadav in #16843 Studio: limit model download speed by @NilayYadav in #16819 Studio: start Blender MCP on mcp 2 by @danielhanchen in #16895 Report incomplete Studio streams in the CLI by @Max-Reisinger in #16868 Studio: make links in the collapsed update notes clickable by @NilayYadav in #16829 Check a dataset for bad rows and over-length examples before training by @NilayYadav in #16818 Match the Chat with files panel and Add files button to the glass theme by @Imagineer99 in #16761 Backend tests: importorskip the unsloth submodule a test uses, not the stubbable package by @danielhanchen in #16898 Studio: compile Anima's transformer blocks by @oobabooga in #16873 Keep gradient checkpointing settings working on transformers 5.23 by @NilayYadav in #16833 Studio diffusion: settle device memory once per video plan, wake sd.cpp polls on server output by @danielhanchen in #16797 Studio Qwen-Image-2.1: fused q/k RMSNorm + RoPE and broadcast modulation for eager renders on ROCm by @danielhanchen in #16891 Studio: reorder cloud providers in the connection picker by @shimmyshimmer in #16904 Document browser use and sandboxing in the README by @Imagineer99 in #16903 Studio: smaller sidebar logo on web, desktop sidebar header back to its pre-#16775 look by @shimmyshimmer in #16907 Studio: fix the browser use bar's text size and button order by @shimmyshimmer in #16905 Studio diffusion: overlap the quant scheme probe with the planner import on a cold image load by @danielhanchen in #16882 Studio LTX-2.5: read the hosted int8 checkpoint as native Linears when the DiT is offloaded by @danielhanchen in #16886 Studio: prequant fingerprint check on a thread pool, zero-copy (13x faster first load verify) by @danielhanchen in #16879 Studio: fill the H3 conditioner's pinned arenas once, before registering (33% faster cold pin) by @danielhanchen in #16887 Tests: undo the Unsloth load's PEFT LoRA forward swap after the probe memo tests by @danielhanchen in #16908 Chat UI: let the floating monitor settle after the viewport restore before dragging it by @danielhanchen in #16909 fix(studio): preserve Unicode separators in S3 JSON Lines transcripts by @Max-Reisinger in #16725 Studio: keep fine-tuning job pages complete when a batch starts by @NilayYadav in #16823 Studio: wait for a pending embedding model download instead of failing every linked-folder file by @debojyoti-dev in #16722 Studio: Element outline setting, outlined light glass, Transparent glass with strength as opacity, glass Show on, and glass on pages without a background by @shimmyshimmer in #16890 Reduce scrolling lag in long chats by bounding offscreen reply painting by @Imagineer99 in #16782 Studio: stop dialogs and menus from restyling the whole chat on open and close by @danielhanchen in #16902 Studio: reduce long-chat panel and scrolling lag on Linux by @wasimysaid in #16854 New Contributors @DimitriChrysafis made their first contribution in #16592 @sfjchen made their first contribution in #15703 @mrityu75 made their first contribution in #14180 Full Changelog: v0.1.915-beta...v0.1916-beta

Performance and Compatibility

Performance is one of Unsloth's main purposes. Its training optimizations are designed to reduce memory requirements and speed up fine-tuning compared with conventional training workflows.

Actual performance depends heavily on the model, quantization, GPU, available VRAM, dataset, batch size, and training configuration. The project supports multi-GPU setups and provides specialized guidance for newer NVIDIA hardware, AMD GPUs, Intel GPUs, and Apple silicon.

Unsloth Studio can run on Windows, Linux, WSL, and macOS. The project also provides native desktop packages for Windows, macOS, and Linux, while the Studio interface can be installed separately and accessed through a local web interface.

macOS users can run models through MLX and GGUF, while supported Apple Silicon systems can also perform training workflows. NVIDIA GPUs provide the broadest support for training workloads, while AMD and Intel support varies by backend and feature.

Because Unsloth works with local models, storage requirements can become significant. Model weights, datasets, checkpoints, caches, and exported models can consume substantially more storage than the application itself.

System Requirements

Unsloth does not have one fixed hardware requirement because different workloads have very different resource requirements.

Supported platforms include:

• Windows

• Linux

• WSL

• macOS

• NVIDIA GPUs

• AMD GPUs

• Intel GPUs

• Apple Silicon

• CPU-only operation for supported workloads

For the code-based installation, the current documentation uses Python 3.13 with uv for Linux, WSL, and Windows installations.

GPU training requires a compatible backend and sufficient memory for the selected model and training configuration. Larger models generally require more VRAM or system memory, while quantized models can substantially reduce the memory requirement.

Docker is also supported, with official images available for different environments and GPU configurations.

Pros and Cons

Pros

• Free and open source

• Local model inference

• Fine-tuning support

• Memory-efficient training optimizations

• Supports multiple model types

• GGUF support

• MLX support

• RAG capabilities

• MCP support

• Tool calling

• Code execution

• Multi-GPU support

• Windows, Linux, WSL, and macOS support

• NVIDIA, AMD, Intel, and CPU support

• Apple Silicon support

• Docker support

• Desktop application

• Web interface

• Python-based workflows

• Supports AI coding agents

Cons

• Hardware requirements vary significantly by model

• Large models require substantial VRAM or system memory

• Training workflows can be technically complex

• Different hardware backends do not provide identical capabilities

• Model files and training datasets can consume considerable storage

• Some advanced workflows require command-line or Python knowledge

How to Install

The simplest option is Unsloth Desktop. The project provides native packages for Windows, macOS, and Linux. Linux users can choose DEB or AppImage packages, while macOS and Windows have dedicated installers.

For Unsloth Studio, macOS, Linux, and WSL can use:

curl -fsSL https://unsloth.ai/install.sh | sh

Windows can use:

irm https://unsloth.ai/install.ps1 | iex

After installation, start the Studio interface with:

unsloth studio

The interface runs locally and can be accessed through a web browser.

For developers who prefer the Python package, Unsloth Core can be installed inside a virtual environment. The project currently recommends using uv to create the environment and install Unsloth with automatic PyTorch backend selection.

Docker is another option for users who prefer an isolated environment or need a reproducible setup.

Final Verdict

Unsloth is more than a fine-tuning library. Its current ecosystem combines local model inference, training, model conversion, RAG, tool calling, AI agents, and a graphical Studio interface into a single open-source platform.

Its biggest strength is flexibility. Users can start with the desktop application and local models, then move to Python-based fine-tuning or Docker when they need more control. Support for multiple hardware platforms also makes it useful across a wider range of systems, although the available capabilities vary between backends.

The main limitation is complexity. Unsloth is aimed at users working with local AI models rather than people looking for a simple chatbot. Model size, VRAM, training configuration, and hardware compatibility all have a significant impact on the experience.

Free

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Software Informations:
Developer:
Unsloth
Operating System:
Windows / macOS / Linux
Date Added:
2026-11-07T03:07:17.960Z
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