Unsloth v0.1.913-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 v0.1.913-beta - Software Mirrors
Unsloth v0.1.913-beta for Windows Unsloth-Desktop-Windows.exe | 21.8 MB Unsloth-Desktop-Windows-ARM64.exe | 21.19 MB
Unsloth v0.1.913-beta for macOS Unsloth-Desktop-MacOS.dmg | 22.29 MB
Unsloth v0.1.913-beta for Linux Unsloth-Desktop-Ubuntu.deb | 23.67 MB Unsloth-Desktop-Ubuntu-ARM64.deb | 23.42 MB Unsloth-Desktop-Linux.AppImage | 170.71 MB
Others Download related to Unsloth v0.1.913-beta Unsloth-Desktop-ARM64.app.tar.gz | 22.08 MB
Unsloth v0.1.913-beta Source Code Unsloth v0.1.913-beta Source code (zip) Unsloth v0.1.913-beta Source code (tar.gz)
Unsloth v0.1.913-beta Release Notes: Make Unsloth your own with custom backgrounds and a improved UI/UX. This release also cuts app update times and speeds up Linux app and Qwen-Image gen when VRAM is limited. Also new: DeepSeek-V4.1-Flash-1017 in Unsloth Dynamic v3.1 GGUFs (preview), FLUX.2-klein-9B on low-RAM machines, smoother chats and batched MoE fine-tuning. Highlights Custom backgrounds to personalize your chats (+ move composer to bottom - more customization coming next week) DeepSeek-V4.1-Flash-1017 new Unsloth Dynamic v3.1 GGUFs (preview), the most accurate for their size on nearly all benchmarks Blog 14 new languages for Unsloth App updates finish twice as fast Linux much less lag and improved performance Qwen-Image renders up to 2x faster under a 16 GB VRAM limit Updated interface with consistency and cleaner UI MoE fine-tuning runs compatible API jobs together Customization and interface Move the chat box to the bottom of new chats with Composer at the bottom in Settings > Chat. Hide the greeting entirely for a simpler new-chat screen. The Library gets shorter chat cards, clearer tooltips and consistent sort and filter icons. Copy images between input slots by dragging a filled slot onto an empty one. Pinned models stay saved across Unsloth Desktop restarts. Each browser tab keeps its own unsent message. Scrolling long chats is smoother on Linux with NVIDIA, X11 and driver 610+. Our high-resolution test improved from about 17 to 60 fps. Images and video FLUX.2-klein-9B now loads and renders on Linux with 12.7 GB of system RAM and a supported GPU. Qwen-Image-2512 renders up to 2x faster under a 16 GB VRAM limit. Qwen-Image-Edit-2511 renders about 1.3x faster under the same limit. MiniMax-H3 clips finish about 1.7x faster in our memory-limited NVIDIA test. Performance App updates take about half as long by skipping Python precompilation. The tradeoff is a longer first launch afterwards, as before v0.1.912. Long replies stream more smoothly, even with unfinished math formatting. Parsing an 83 KB reply with a stray $$ took 0.7 seconds instead of 71 seconds. Previewing a 1 GB local Parquet file uses about 300 MB of peak memory, down from 1.5 GB. Unsloth stays responsive as Transformers and MLX models finish loading. Chat and API GGUF models reload in the background after a llama-server crash. Failed or cancelled GGUF downloads leave your current model loaded. Very long GGUF chats can compact and keep going. Claude Code connected directly to a local GGUF reuses cached prompts across new sessions. Rejected GGUF requests show llama-server’s explanation instead of a generic error. Mac Claude Code, Codex and OpenCode requests can share an MLX batch. In our test, four simultaneous requests finished up to 2.3x faster. Experimental Neural Engine Prefill processes prompts up to 31% faster in our Qwen3.8-27B-4bit test on M3 Max. It is opt-in and can slightly change replies. Auto context starts GGUF models at no more than 65,536 tokens, reducing upfront memory use. You can still set a larger context manually. Send LFM3-Audio or LFM3-Omni a voice clip on MLX and hear its answer alongside the text. Training Compatible LoRA and QLoRA jobs on MoE models such as Qwen3.6-35B-A3B train together through the fine-tuning API, each with its own adapter. Use via API on the Train page opens Python, JavaScript and curl examples for your setup. Single-column text datasets are recognised automatically, with no manual column mapping. What's Changed Bump install.sh / install.ps1 pins to unsloth>=2026.10.10, unsloth-zoo>=2026.10.10 by @danielhanchen in #15785 Tensor parallel x FSDP2: average trainable TP parameters left out of FSDP2 over the data parallel ranks by @danielhanchen in #15748 Flash impl: warn about an explicit fa3 / fa4 fallback on the Trainer path too by @danielhanchen in #15750 FSDP2 block CUDA graphs: free the gathered weights of flex BlockMask blocks by @danielhanchen in #15756 Installer downloads: report progress on whole 1 MiB chunks again by @danielhanchen in #15789 Studio export: skip the GPU cache clear when nothing was loaded since the last one by @danielhanchen in #15737 Studio video: read an LTX-2 checkpoint header once per file when probing for 2.3 by @danielhanchen in #15738 Tensor parallel: batch_rebalance and group_by_length samplers give tp peers the same rows by @danielhanchen in #15752 CI: hold the unpinned version-compat lanes below torch 2.15 until torchvision 0.30 is published by @danielhanchen in #15774 Studio: give each batched fine-tuning job its own fp16 loss scale by @danielhanchen in #15741 Studio: list a Qwen-Image-2.1-Turbo base pipeline cached in its FP8 mirror On Device by @danielhanchen in #15772 Multi-LoRA: per-adapter LoRA on fused MoE experts by @danielhanchen in #15742 Frontend tests: follow the desktop quit hiding the window by @danielhanchen in #15801 Cross entropy: 8192-wide chunks at 4 warps for the chunked forward on sm120 by @danielhanchen in #15744 Run packed rows of head-dim-routed flex decoders through varlen SDPA by @danielhanchen in #15514 Tests: allow the zoo's padded logits row stride in the fused linear adapter check by @danielhanchen in #15803 studiobench: seed the browser with update notifications off by @danielhanchen in #15805 Flex small-smem tiles: keep float32 Gemma 3 off flex on sm86 / sm89, tile forced no-grad calls by @danielhanchen in #15529 SDPA decode: keep the caller's backend policy when avoiding cuDNN by @danielhanchen in #15525 MoE heuristic dW config: 128-wide N tile for gpt-oss K = 2880 by @danielhanchen in #15505 FP8: skip the compiled wrapper for rowwise FP8 inference linears by @danielhanchen in #15584 Studio: size FLUX.1 Kontext guard, preview and compile shape from its ~1 MP render by @danielhanchen in #15797 Keep image and video models loaded beside chat models on Apple Silicon by @Lyxot in #15693 Block CUDA graphs: turn on automatically for fixed-shape, launch-bound LoRA runs by @danielhanchen in #15768 Studio: batch MoE fine-tuning jobs with per-job expert LoRA by @danielhanchen in #15809 Studio: raise the startup bundle budget by the Trick or treat row's growth by @danielhanchen in #15822 Studio: test that a batched fine-tune stays in its own account by @danielhanchen in #15825 Studio: keep MiniMax-H3's streamed top-level group on the card between denoise steps by @danielhanchen in #15796 Studio native cache write: recapture when an offload moves weights before the live-read swap by @danielhanchen in #15776 checkpoint_skip_layers="auto": skip the planning collective under DDP.join() by @danielhanchen in #15779 FP8 scaled_mm backend: send 17-64 rows to torch._scaled_mm when the 16-bit weight spills L2 (sm89) by @danielhanchen in #15791 CI: turn update checks off in every job that drives a browser by @danielhanchen in #15815 Studio tests: drain the background sandbox mover between tests by @danielhanchen in #15830 Studio: emit no legacy load flag when the llama-server --help probe is inconclusive by @danielhanchen in #15828 Mamba LoRA: apply a trained dt_proj / x_proj / out_proj adapter in eval and cached decode by @danielhanchen in #15730 Studio diffusion: load the int8 GEMM operands through TMA descriptors on sm120 by @danielhanchen in #15829 Block CUDA graphs: only release the cudagraph pool for tree functions the block backend compiled by @danielhanchen in #15777 Tests: FP8 routing tests pin the NVIDIA path so they pass on ROCm runners by @danielhanchen in #15838 Studio: skip the Keep resident page-lock when the llama-server --help probe is inconclusive by @danielhanchen in #15833 Backend CI: split the fsdp2 Repo tests shard in two by @danielhanchen in #15851 Fix OpenCode Go session headers in Studio by @Aafimalek in #15780 Desktop: re-enable GPU compositing on NVIDIA X11 with driver 610 or newer by @oobabooga in #15546 Studio tests: skip rag_conn where this Python's sqlite3 cannot load extensions by @danielhanchen in #15862 GRPO: take the per-step host syncs out of the loss path by @danielhanchen in #15855 Studio: keep refusing a symlinked spill where there is no O_NOFOLLOW (Windows) by @danielhanchen in #15887 Studio: show the real error when a Responses stream fails by @NilayYadav in #15816 Studio: show why llama-server rejected a chat request by @NilayYadav in #15817 Packed attention: varlen probes under fullgraph + dynamic=True compile by @danielhanchen in #15891 Studio tests: keep GGUF loads off the host's Metal budget unless a test asks by @danielhanchen in #15910 Studio tests: measure the int8 / fp8 dequant and nibble-swap peaks in a fresh process by @danielhanchen in #15912 Studio: restore the #15731 login layout by @shimmyshimmer in #15903 Studio: lead the Live monitor tiles with the reading, unrounded by @shimmyshimmer in #15897 Studio: put a just-created API token in the Agents command and API examples by @shimmyshimmer in #15890 Studio: Images icon for Reference, file search icon for Chat with files by @shimmyshimmer in #15806 Studio: Qwen-Image-2.1 eager renders before the deferred compile now match ComfyUI by @danielhanchen in #15908 Studio diffusion: let a 12.7 GB host load FLUX.2-klein-9B by spilling the int8 denoiser to a scratch file by @danielhanchen in #15911 Studio: stop the first Wan2.2-A14B render from waiting for the second expert's pin by @danielhanchen in #15906 Studio tests: give managed engines ports another worker cannot be handed by @danielhanchen in #15915 Studio: add a Quickstart heading over the API example tabs by @shimmyshimmer in #15898 Studio: one text and control width for every settings row by @shimmyshimmer in #15905 Studio: Decision tab loads at once, System and settings polish, main-theme borders restored by @shimmyshimmer in #15919 Studio: decode format-check preview rows once per request by @danielhanchen in #15867 Studio: index the training history's resumed-later check by @danielhanchen in #15872 Studio: copy Whisper timestamp tokens to the host once per window by @danielhanchen in #15860 Studio: fetch up to four Hub files at once over HTTP when partials resume by @danielhanchen in #15781 Studio: reuse the VLM URL probe's downloads in the conversion by @danielhanchen in #15870 Studio: fetch ShareGPT+image row images concurrently, in row order by @danielhanchen in #15786 Studio desktop: ask desktop-capabilities in the launch probe on a capability cache miss by @danielhanchen in #15823 Studio: find a code block's backtick runs by regex when picking its fence by @danielhanchen in #15913 GRPO PrefixGrouper: import cleanly on torch 2.6 and keep it off below 2.7 with a log line by @danielhanchen in #15836 Studio: write transcoded WAV blocks raw and fix the header once on close by @danielhanchen in #15917 Studio: find VLM rows without an image or caption from Arrow validity by @danielhanchen in #15787 Studio: score unclosed Markdown link destinations in linear time by @danielhanchen in #15811 Studio: write each training metrics flush and its run progress in one transaction by @danielhanchen in #15871 GRPO PrefixGrouper: build the shared-prefix layout from one host copy instead of per-token loops and per-segment device fills by @danielhanchen in #15835 Studio: reuse recipe shard row counts while no shard changed by @danielhanchen in #15869 Studio: make Recipes lint validators run on Windows and under a gitignored temp root by @danielhanchen in #15929 Studio: wake admission waits on queue state changes instead of their next poll by @danielhanchen in #15885 Studio: treat unknown parent liveness as alive in the llama-server reaper by @danielhanchen in #15921 Studio: stop re-hashing kept spills and re-reading the record on every prune by @danielhanchen in #15884 Studio: adopt the WAV save_from_media already transcoded instead of decoding it again by @danielhanchen in #15916 Cleanup: remove 5 redundant pass statements that leave bytecode unchanged by @danielhanchen in #15790 Studio setup.ps1: install bun only when the frontend is built by @danielhanchen in #15933 Studio: keep the Markdown block split linear after an unmatched $$ by @danielhanchen in #15886 Tokenizer loading: skip the unused slow tokenizer load when the fast one is returned as is by @danielhanchen in #15834 Import fixes: disable a torchao too new for the installed torch instead of failing import unsloth by @danielhanchen in #15850 Studio: make the install-time bytecode precompile opt-in by @danielhanchen in #15923 Studio: read the file digest cache once per reuse estimate by @danielhanchen in #15914 GGUF export: write the intermediate conversion inside the output folder so placing it is a rename by @danielhanchen in #15783 Studio: build the MCP apps on first use instead of at backend import by @danielhanchen in #15814 Studio: read only the run state for chunk-only chat run event batches by @danielhanchen in #15807 Studio: skip the article and main scope passes when the page has no such tag by @danielhanchen in #15812 Studio: preview local Parquet from its leading rows instead of loading it whole by @danielhanchen in #15868 Studio: store float32 RAG vectors from their buffer and pack the query once by @danielhanchen in #15859 Studio: share one in-flight /api/health read between the startup and route platform checks by @danielhanchen in #15794 Studio tests: use a portable fake llama-server in the load cancel tests by @danielhanchen in #15826 install-kernels: skip the torch import when a kernel's extension is absent, and probe torch only when a wheel is needed by @danielhanchen in #15896 Studio: validate a recipe job's OXC batches in one Node process by @danielhanchen in #15925 Studio: walk the sandbox once per tool call boundary for the files card and file history by @danielhanchen in #15793 Studio: keep audio gallery operations in the folder they resolved by @danielhanchen in #15875 Studio: skip the escaped-math parse when no escaped dollar pair can be math by @danielhanchen in #15808 Studio: quantise an offloaded native int8 denoiser on the card, one linear at a time by @danielhanchen in #15936 GRPO PrefixGrouper: fit the flex kernel on 101 KB shared-memory GPUs and stop its silent eager fallback by @danielhanchen in #15854 Studio: skip the route's GPU probe when the GGUF fits in RAM by @danielhanchen in #15902 Studio desktop: skip the device type read while the backend port is still unknown by @danielhanchen in #15824 Studio Desktop: sync pinned models and overrides after the backend port is known by @danielhanchen in #15821 Studio: matching Hugeicons permission icons, larger and top-aligned by @shimmyshimmer in #15944 Tests: baseline the torchao import probe from #15850, gate the PrefixGrouper CUDA test on a real card by @danielhanchen in #15948 Tests: follow the media header's MediaHeaderActions row from #15919 by @danielhanchen in #15946 Studio: accent update buttons, standard switches, one icon per meaning by @shimmyshimmer in #15939 Studio: greeting setting hides the whole greeting, composer at the bottom option, no model disclaimer by @shimmyshimmer in #15904 Studio: write plain recipe export rows with one json.dumps call by @danielhanchen in #15926 Studio: reuse the cached TLS context for llama-server health probes by @danielhanchen in #15792 Studio: read the run history once per checkpoint listing by @danielhanchen in #15873 Studio: keep an appearance edit made while the personalization load is in flight by @danielhanchen in #15953 Studio diffusion: run both guidance branches per streamed block upload for Qwen-Image-Edit under a VRAM budget by @danielhanchen in #15930 Tests: read _gpu_init.py as UTF-8 in the torchao-too-new test by @danielhanchen in #15957 Studio: encode a batch's gallery PNGs concurrently by @danielhanchen in #15909 Studio: skip the audio gallery prune's sidecar pass under both caps and list prepared inputs once per sweep by @danielhanchen in #15874 Tests: mac tab walk waits for the sidebar to mount before judging a pinned row by @danielhanchen in #15959 Studio video: MiniMax-H3 conditioner pin yields to a streamed denoiser on a small host by @danielhanchen in #15955 Studio video: MiniMax-H3 unfused Q / K / V share one ConvRot rotation and act quant by @danielhanchen in #15956 CI: split Repo tests (CPU, rest) and (CPU, gloo) before they reach their 2100 s cap by @danielhanchen in #15951 Studio: say when remote access Start automatically opens a public URL by @NilayYadav in #15849 Studio: encode each recall query once per compaction and let archive widening widen by @danielhanchen in #15960 Studio: answer dense RAG search from an in-memory numpy matrix kept in sync by SQLite triggers by @danielhanchen in #15961 Studio: match linked-folder paths against .gitignore runs, not rule by rule by @danielhanchen in #15949 Studio: link to image training from the Train page by @NilayYadav in #15391 Studio diffusion: a first load downloads the weights before the small-host decision reads them by @danielhanchen in #15974 Let decision models export to GGUF on a fresh install by @NilayYadav in #15864 Studio: stop Auto context from reserving a model's whole window on a Mac by @NilayYadav in #15843 Tests: keep tqdm's monitor thread out of the ShareGPT no-threads count by @danielhanchen in #15992 Studio: keep the user's git identity and gh login in unsloth start pi by @NilayYadav in #15865 Studio: let unsloth start vibe start with smaller context windows by @NilayYadav in #15863 Studio: restart a crashed GGUF model instead of showing it loaded by @NilayYadav in #15847 Tests: make unsloth_cli/tests/test_start.py pass on Windows by @danielhanchen in #15987 Studio: keep the loaded model if a GGUF download fails or is cancelled by @NilayYadav in #15846 Studio: test that escaped currency keeps long replies streaming fast by @NilayYadav in #15820 Studio: stop re-uploading the whole chat while a reply streams by @NilayYadav in #15818 Studio: nvfp4 safetensors twins: converter 0-dim compare, refuse a twin the installed torchao cannot unflatten by @danielhanchen in #15977 Studio: keep the app responsive as an MLX or Transformers load finishes by @NilayYadav in #15842 Studio: stop the KV cache type following the last model to the next one by @NilayYadav in #15819 Studio: share one edge index for Recipe Studio node connection status by @danielhanchen in #15942 Studio: load downloaded models with fewer Hugging Face requests by @NilayYadav in #15844 Tests: plant uv.exe on Windows in the MLX repair minimal-PATH lookup test by @danielhanchen in #15995 Studio: reuse lexical passes and branch checks across a compaction and prune branch-run starts by @danielhanchen in #15972 Studio: recommend a Hub GGUF quant that fits the Mac's Metal budget by @NilayYadav in #15848 Studio: stop the Claude CLI billing line from breaking prompt caching by @NilayYadav in #15845 Studio video: stage an fp32 encoder on the card when its dense cast would not fit host RAM by @danielhanchen in #15975 Studio setup: skip the OXC validator npm ci when its installed tree is unchanged by @danielhanchen in #15947 Studio diffusion: use an installed HIP SDK for the Windows ROCm sd.cpp build when its bin dir is not on PATH by @oobabooga in #15853 Studio: train single-string-column datasets as raw text by @YakshithK in #15899 Unsloth Studio: LFM3-Audio / LFM3-Omni on MLX, with spoken replies by @Lyxot in #15889 fix(studio): attach an explicitly chosen MLX drafter even when it is priced not to fit by @Lyxot in #15813 Tests: keep the RAG query-packing test on vec0 while the in-memory cache builds in the background by @danielhanchen in #16013 Studio: load the chat page on first use instead of in the startup bundle by @danielhanchen in #15943 Move the Unsloth Studio MLX pins to mlx-vlm 0.7.11 by @Lyxot in #15861 Tests: price the auto-context fit floor as the layer-split path on any host by @danielhanchen in #16014 Collapse blank line runs with a literal-led pattern (about 10x faster) by @danielhanchen in #15950 Studio diffusion: Qwen-Image text-to-image activation seeds keep part of the int8 DiT resident under a VRAM budget by @danielhanchen in #15985 Studio video: request a hosted .safetensors twin before each declared prequant .pt by @danielhanchen in #15980 Studio: batch MLX tool-protocol, response_format and video replies; several clips and Gemma 4 video on MLX by @Lyxot in #15920 Studio: Use via API button on the Train page by @danielhanchen in #15996 Studio: say why AI Assist cannot map a dataset with no prompt/response split by @danielhanchen in #15991 T4: hand batch-4 NF4 decode to the bitsandbytes gemm_4bit where it runs by @danielhanchen in #15988 Tests: read the training API job bodies fixture as UTF-8 by @danielhanchen in #16025 Studio: hand the audio route's heal gate the request's contract, and follow the hoisted audio_base64 in the turn-scope check by @danielhanchen in #16023 Studio: Neural Engine Prefill toggle for MLX models by @Lyxot in #15954 Studio video: compare streamed frames without chunk-sized temporaries (H3 export stalls) by @danielhanchen in #16024 Studio video: streamed mp4 byte-identical to the stock export on every render (cap libx264 at AVX2 on AVX-512 hosts) by @danielhanchen in #16030 Studio: int8 Qwen-Image text stream when the denoiser is streamed (1.24x under a 16 GiB budget) by @danielhanchen in #16027 Studio MCP: bound get_job wait_s with a fixed limit, not the patchable MAX_WAIT_S by @danielhanchen in #16033 Batched MoE LoRA: every job's expert LoRA in one grouped pass on Zoo's kernels by @danielhanchen in #16012 Studio: toast icons centred on one line, top-aligned on longer toasts by @shimmyshimmer in #16050 Studio: one set of sort and filter icons, shorter chat cards, toolbar tooltips by @shimmyshimmer in #15958 Desktop: Add GPU rendering setting with a Linux launch-crash fallback by @Etherll in #15482 GRPO: keep masking completions cut by the vLLM context limit by @danielhanchen in #16057 Packed mRoPE flash attention: cover a padded tail, same decision when compiled by @danielhanchen in #16058 Cross entropy: trace under torch.compile(dynamic=True) by @danielhanchen in #16059 Scope WavLM's 4-bit attention skip to WavLM's own layers by @danielhanchen in #16060 gpt-oss: accept an absolute transformers_weights inside the local model dir by @danielhanchen in #16061 MXFP4 torch decode fallback: run ldexp on the operands' GPU by @danielhanchen in #16062 FP8 scaled_mm: keep native fp16 output on torch >= 2.14 by @danielhanchen in #16063 Context parallelism: refuse it beside tensor parallelism instead of training the wrong loss by @danielhanchen in #16068 Studio video: batch the CFG pair into one call on a compiled resident Wan denoiser by @danielhanchen in #16067 Context parallel: allow text-only Qwen3.5 checkpoints that carry a vision_config by @danielhanchen in #16072 Studio: keep the composer still when switching chats in WebKit by @shimmyshimmer in #16076 Studio: stop the chat composer draft mirroring into other open tabs by @debojyoti-dev in #15795 float16: agree on GradScaler skips across pipeline stages, scale the CP start, probe the float16 FP8 GEMM by @danielhanchen in #16070 Studio: scale the token count timeout so long chats can compact by @oobabooga in #15900 fix(studio): list approved custom-code models in /v1/models by @Lyxot in #15945 Studio: drag an image from one slot to another by @NilayYadav in #15876 Studio: name a too-short context length when completion masking drops rows by @danielhanchen in #16000 Studio: align the Images and Video preset dropdown with the title's top by @shimmyshimmer in #16081 Tests: stub @/lib/folder-icons in the Hub GGUF card Metal budget test by @danielhanchen in #16082 Studio: fill locale gaps and translate the sign-in, consent and Desktop startup screens by @shimmyshimmer in #16069 Studio: no text selection from the clicks that follow a dropdown dismissal by @shimmyshimmer in #16077 Studio: let conversation search return every earlier turn that fits by @NilayYadav in #16036 Desktop: run the AppImage on the host's WebKitGTK 2.54+ when available by @Etherll in #15503 Studio: add Spanish (Latin America) as a display language by @shimmyshimmer in #16089 Studio: include Schema transform output in recipe dataset downloads by @NilayYadav in #16039 Studio: strip only harmony protocol tokens from gpt-oss answers by @danielhanchen in #16004 Studio chat: publish held stream text on the next frame instead of waiting for the next chunk by @danielhanchen in #15998 Studio: stop skipping scheduled runs right after Studio starts by @NilayYadav in #16037 Studio: batch the raw text blank row filter and EOS append for map-style datasets by @danielhanchen in #15978 Studio: read a JSON body inside instead of running the call with no arguments by @danielhanchen in #16008 Tests: run the MXFP4 operand device guard check on CPU-only torch too by @danielhanchen in #16088 Report measured model loading and 4-bit conversion during image training by @Imagineer99 in #15536 Studio: let managed accounts use local MCP servers when allowed by @NilayYadav in #16044 Studio: int8 Qwen-Image streamed modulations through a fused GEMV (1.23x under a 16 GiB budget) by @danielhanchen in #16087 Studio: size a cached DFlash sidecar from disk instead of asking the Hub on every load by @danielhanchen in #15986 Bump trufflesecurity/trufflehog in / by @dependabot[bot] in #15968 fix(studio): keep a long MLX vision chat's prompt snapshot past the cache budget by @Lyxot in #16079 Bump swatinem/rust-cache in / by @dependabot[bot] in #15966 Bump github/codeql-action init and analyze to v4.39.1 by @dependabot[bot] in #15964 Bump actions/setup-python in / by @dependabot[bot] in #15963 Bump the npm-oxc-validator group in /studio/backend/core/data_recipe/oxc-validator with 3 updates by @dependabot[bot] in #15962 Studio: keep a resident GGUF's repo identity for Hub shared-blob cache files by @danielhanchen in #16086 fix(eval): reserve explicit YAML task names by @hsusul in #15984 Studio: offer video input only when llama-server can launch ffmpeg and ffprobe by @danielhanchen in #16094 Tests: follow the localized update banners from #16069 by @danielhanchen in #16090 Studio: keep attached documents in Deep Research reports by @NilayYadav in #16019 Desktop: switch the theme without a view transition on Linux by @oobabooga in #16040 Studio: recover Deep Research from provider JSON validation failures by @alkinun in #15788 Studio: ask llama-server again with its tool parser off when it rejects a reply before streaming by @danielhanchen in #16002 Studio: default Deep Research to no time limit per model request by @NilayYadav in #15983 Studio installer (Windows): avoid unavailable CUDA torchao wheels by @oobabooga in #16016 Studio: share one in-flight media model index build so the startup checks do not scan twice by @danielhanchen in #16075 Add custom hourly intervals for scheduled tasks by @Imagineer99 in #15799 Studio Images: enable GGUF LoRAs on MLX and diffusers, and explain when unavailable by @oobabooga in #16053 Studio: read streamed dataset slices in batches instead of row by row by @danielhanchen in #16083 Studio diffusion: test-launch sd.cpp binaries without the Windows missing-DLL box by @oobabooga in #16031 Studio diffusion: Qwen-Image text-to-image streamed placement uses its own activation figure under a VRAM budget by @danielhanchen in #16095 Studio: download the commit the manifest was planned from by @danielhanchen in #16047 Studio: vector cache in float32 unit rows with streamed builds, in-place appends and bounded block scans by @danielhanchen in #16093 Studio: add customizable chat background images and effects by @wasimysaid in #15973 Studio: keep a bare-JSON tool call out of the final answer after the tool loop by @danielhanchen in #16003 Studio: add OpenCode Zen and OpenCode Go to Connections by @NilayYadav in #16010 Studio: honour speed on /v1/audio/speech by @NilayYadav in #16020 Studio: compile the SDXL U-Net per block so the 4th image no longer waits for the whole compile by @danielhanchen in #16085 Studio: stop offering the VibeVoice q4-ios GGUF that audio.cpp cannot load by @oobabooga in #16048 Studio: recover a closed tool call whose single code argument has unescaped quotes by @danielhanchen in #16006 Studio: add MiniMax to Connections by @NilayYadav in #16011 New Contributors @YakshithK made their first contribution in #15899 @hsusul made their first contribution in #15984 Full Changelog: v0.1.912-beta...v0.1.913-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:
2026-10-31T03:07:17.671Z
Categories:

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