- Python 71.5%
- TypeScript 22.7%
- Shell 1.9%
- PowerShell 1.6%
- Rust 1.5%
- Other 0.7%
* Gate the sed commands that run a shell
GNU sed executes a shell through its `e` command, both as a standalone
command (`sed -n '1e CMD' file`) and as an `s///e` flag that runs the
pattern space. It goes through popen(), so it is a literal `sh -c`, but
the terminal scan only ever saw `sed` at command position and treated the
program text as an ordinary argument.
That left `sed -n '1e rm -f victim' /etc/hosts` running with no prompt in
auto mode, and `_find_blocked_commands` returning nothing for it, so the
hard blocklist that applies in every mode missed `rm` as well.
Screens the program the same way the awk arm does. `-e` values are joined
with newlines first, since that is how sed assembles them: `sed -e '1a\'
-e 'e CMD'` appends a literal line and runs nothing, so judging the pieces
separately would prompt on a benign script. The scan then steps over every
region where `e` is data rather than a command: address and substitution
regexes, replacements, `a/i/c` text, `r`/`w` filenames, `b`/`t` labels and
comments. That keeps the common idioms silent, including `:e;N;$!be` loop
labels, `s/e/E/g`, and `s/a/b/we out.txt` where the `e` belongs to the `w`
filename and sed does not execute.
The blocklist scan recurses into a literal `e` payload the same way it
already does for `bash -c`. A bare `e` or an `s///e` can only be prompted,
since what they run is the pattern space, which is input-file text that is
not knowable statically.
Verified against real GNU sed 4.9 rather than the manual: 80 commands run
for real with a marker payload, comparing what sed actually executed
against the classifier, with no mismatches in either direction.
* Close five ways a sed program hid its shell payload
Review found five shapes the first pass missed. All five execute on GNU
sed 4.9, checked by running them rather than reading the manual.
A payload line ending in a backslash continues onto the next line, so the
scan now ends an `e` at an unescaped newline and unescapes the text the way
sed's read_text does. That is what resolves `r''m` back to `rm` for the
blocklist.
A sed comment ends at a real newline, but the terminal scan had already
replaced every newline with `;`, including newlines inside quotes, so
`# comment` swallowed the rest of the program. The sed arm now also sees a
variant where only unquoted newlines become separators, built on a
character-by-character quote scanner rather than a regex: an apostrophe in
a double-quoted word mis-pairs under a regex and inverts the state, which
opened a bypass while this was being written.
Everything attached to `-i` is a backup suffix, so reading `-ifoo` as an
attached `-f` lost the real script. Replaced the shared short-flag helper
with sed's own option grammar, which also fixes `-l 5` and
`--line-length 5` eating the script as their operand.
A sed child of `find -exec` was never recorded, so the blocklist skipped
its payload.
Substituted text splices straight into the program, and an address is as
good a place as any to open `;e CMD`, so a command substitution anywhere
in the program is treated as unresolvable. Scoped to the program: a
substitution in a file operand still runs, a `$(` or backtick inside single
quotes is literal, and parameter and arithmetic expansion are untouched.
The cost is that a substitution used to build a program now asks.
Bounding the -exec walk keeps the blocklist linear; without it a repeated
`-exec sed` line went quadratic.
Verified against real GNU sed across 103 commands run for real, no
mismatch in either direction.
* Fail closed on padded sed lines, and stop gating sed --sandbox
Four more from review, each checked by running it rather than reading the
manual.
The cap that keeps the argument walk linear was itself the bypass: padding
a line with 128 valid options pushes the script past it, and an empty
program read as proof the command only edits text. The budget is now shared
across the sed words on a line, so a lone sed reads its whole argument list
while a line packed with sed words keeps the floor that holds the walk
linear, and overflow fails closed instead of falling through.
The substitution scan counted parentheses without consulting quote state,
so a quoted paren in the substitution body left the span unterminated and
the program never matched. It now balances through the same quote scanner
used elsewhere, since a substitution body reopens quoting.
A wrapper between -exec and its child hid the child from the blocklist.
Following the wrapper also fixes the neighbouring blocked-name check, which
missed find . -exec env rm the same way. The wrapper's own name is still
screened: -exec sudo rm reports both.
sed --sandbox and --posix refuse e outright and exit 1, so gating them was
prompting for something that cannot run. They are now inert, except after
--, where the flag is an input filename and the script still executes.
env -u still hides a child from the blocklist, on this path and at top
level. That is pre-existing and left alone here.
* Resolve the sed program through find, wrappers, globs and variables
Five more from review, each run against real sed rather than read off the
manual.
find's -exec ends at + or ;, but the sed argument walk ran past it into the
next predicate, where a following -exec grep -e safe was read as sed's own
-e and discarded the real script. Stopping at the terminator also removes a
false prompt, since -exec was being parsed as -e xec and inventing a payload.
Hopping a wrapper skipped its name but not an option that takes a separate
operand, so env -u FOO sed returned FOO as the child. The table this file
already keeps for wrapper options covers it, moved up so both layers share
it. That also settles the top level: env -u PATH rm -rf x now reports rm,
as do env --unset, stdbuf -o L and xargs -I {}. Two false positives go with
it, timeout -s KILL 5 rm blaming the signal name and env -u kill blaming a
variable name, while timeout -s KILL 5 kill -9 1 still reports kill.
A program held in a variable was invisible: the assignment regex stops its
value at whitespace, so a program containing a newline never entered the
map in any pass. Resolved at the token level instead, where the value is
already whole. Both the written and the resolved program are screened,
since either can hold the e.
A command-position glob that can resolve to sed is treated as sed. The
auto gate already asks about any unresolved command glob; this is for the
blocklist, which did not know the name.
Inside double quotes a backslash makes the next character literal, so
sed "s/\$(CC)/gcc/" runs no substitution and should never have asked. The
quote scanner now reports an escaped character under its own state.
Left open: on Windows the blocklist lexer keeps quoting in its tokens, so
a multiline program held in a variable resolves there but not to a name
the blocklist reads. The prompt still fires on every platform.
* Ask when the sed program is not a literal we can read
Two from review, and the second one changes the default rather than adding
another case.
sed --sandbox and --posix were being read as disabling e for the whole
invocation. They disable exactly the scripts written after them: sed
compiles each -e as that option is parsed, and the positional script only
after the option list, so sed -e '1e CMD' input --sandbox runs the payload
with no POSIXLY_CORRECT needed. Suppression is now positional. Reading
POSIXLY_CORRECT out of the command text was considered and dropped as
unsound, since export or an outer bash -c puts it somewhere the text does
not show.
A program built by a parameter transformation was invisible: only bare
$NAME and ${NAME} were resolved, so ${p#x } passed through untouched. Rather
than add operators one at a time, a program that still holds a live
expansion after resolution is treated as unreadable and asks. Unhandled
expansion forms are now safe by default instead of silent, which also
closes ${p%Z}, array elements, printf -v, read, and p=$(...) whose binding
shlex had been truncating to a bare $.
Arithmetic is collapsed rather than exempted. It can only ever evaluate to
an integer, so it cannot spell a sed command, but leaving it as written let
"$((c+1))e CMD" read as an append-text command that swallowed the payload.
The cost is that a double-quoted program holding an unassigned variable now
asks: sed "s/$OLD/$NEW/g" f. Measured at 24 of 169 realistic invocations,
all of that one shape. Exempting it would trade enumerating expansion
operators for enumerating assignment forms, and four of the bypasses above
sit outside the assignment pattern, so the blanket rule stays.
Left open: -f prog.sed is still unscreened, since the program is in a file.
* Decide where a sed scan stops by context, not by token text
Four from review, two of them exploiting fixes from earlier rounds.
Stopping the sed walk at a + or ; token read the text after shlex had
already removed its quoting, so a quoted file operand looked exactly like
a find terminator and the scan gave up before the -e that followed. sed
still compiles that -e, because getopt permutes. Termination is now decided
by token index: a separator counts only if it was unquoted, and + or ; only
while a find or fd exec action is open, which is the only place quoting
does not matter. The same shape works with & | ( ) and }, so all of them
are covered.
The assignment map kept the first binding for a name, but the shell uses
the most recent one before the command. Bindings are now ordered and only
those preceding a given sed are folded in, with a later one replacing an
earlier. A value that is not itself literal clears the name rather than
leaving the older literal standing, which would otherwise have dressed an
unread program up as a safe one.
Exhausting the wrapper budget under find -exec returned the same answer as
finding no child at all, so a long enough chain of wrappers hid whatever
followed. It now reports overflow and blocks the chain word. This was
hiding more than sed: the same shape hid a plain rm.
fd spells its exec flags -x, -X, --exec and --exec-batch, none of which
were routed into the nested scan. They are now, but only while a find or
fd word is in scope and no action is already open, so a -x that belongs to
a child command is left alone.
Prompt rate is unchanged at 45 of 169 realistic invocations; this round
adds no new prompts.
* Drop the words the shell removes before a command runs
Two from review, both verified to run for real.
A redirection is performed by the shell and never reaches the command, but
the words stayed in the token list and the first of them was taken for
sed's positional script, so the real one behind it was never read.
`sed </dev/null '1e touch MARKER' input` creates the file, and so do the
`>`, `2>`, `2>&1`, `&>`, `>|` and here-string spellings. Redirections are
now recognised as spans and skipped: the target may be glued on, be the
next word, or sit one further along when a punctuation character splits
the operator. A skip is honoured only where sed would take the word as an
argument, so a pending -e/-f/-l value is still read.
The same words also hid a command outright. `> out.txt rm -rf victim` and
`2>&1 rm -rf victim` both really delete, because the redirection target
was read as the command word and the rm behind it landed in argument
position, where the always-on blocklist does not look.
shlex emits a RUN of punctuation characters as one token, so bash's `|&`
matched no separator and a sed scan ran on into the NEXT command, taking
its `-e safe` for the real script and dropping the payload. Any token
built only from those characters now ends an invocation, and a quoted one
is excluded the same way a quoted `';'` already was.
The third item from that review, `-l N` eating the script as its length
operand, was already closed in
|
||
|---|---|---|
| .github | ||
| images | ||
| scripts | ||
| studio | ||
| tests | ||
| unsloth | ||
| unsloth_cli | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-ci.yaml | ||
| .pre-commit-config.yaml | ||
| build.sh | ||
| cli.py | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| COPYING | ||
| install.ps1 | ||
| install.sh | ||
| LICENSE | ||
| pyproject.toml | ||
| README.md | ||
| unsloth-cli.py | ||
Unsloth Studio lets you run and train models locally.
Features • News • Quickstart • Notebooks • Documentation
⚡ Get started
macOS, Linux, WSL:
curl -fsSL https://unsloth.ai/install.sh | sh
Windows:
irm https://unsloth.ai/install.ps1 | iex
Community:
⭐ Features
Unsloth Studio (Beta) lets you run and train text, audio, embedding, vision models on Windows, Linux and macOS.
Inference
- Search + download + run models including GGUF, LoRA adapters, safetensors
- Export models: Save or export models to GGUF, 16-bit safetensors and other formats.
- Tool calling: Support for self-healing tool calling and web search
- Code execution: lets LLMs test code in Claude artifacts and sandbox environments
- API inference endpoint: Deploy and run local LLMs in Claude Code, Codex tools with Unsloth
- Auto set inference settings and customize chat templates.
- We work directly with teams behind gpt-oss, Qwen3, Llama 4, Mistral, Gemma 1-3, and Phi-4, where we’ve fixed bugs that improve model accuracy.
- Chat with images, audio, PDFs, code, DOCX and more. Connect API providers (OpenAI, Anthropic) or servers (vLLM, Ollama).
- Compare any two models side by side with the same prompt.
- OpenAI/Anthropic-compatible APIs: Serve local models through
/v1/chat/completions,/v1/responsesand/v1/messages. - Connect local models to agents: Use
unsloth startwith Claude Code, Codex, Hermes and more. - Web/PDF search can read PDF papers, manuals and other PDF results.
- GGUF hardware controls: Choose GPUs/layers, offload MoE experts, use multi-GPU or Tensor Parallelism.
- The opt-in MCP control endpoint lets AI clients manage models, training, recipes and exports.
Training
- Train and RL 500+ models up to 2x faster with 70% less VRAM; MoE up to 12x faster.
- Train and run RL on AMD GPUs across Windows, WSL and Linux.
- Data Recipes: Auto-create datasets from PDF, CSV, DOCX etc. Edit data in a visual-node workflow.
- Reinforcement Learning uses 80% less VRAM for GRPO, FP8 and vision RL, with 7x longer contexts.
- Long-context training: 3x faster, 30% less VRAM and 500K+ context.
- Supports LoRA/QLoRA, full fine-tuning, RL, pretraining, 4-bit, 16-bit and FP8.
- Custom Triton and mathematical kernels built with PyTorch and Hugging Face.
- Observability: Monitor training live, track loss and GPU usage and customize graphs.
- Multi-GPU training is supported, with major improvements coming soon.
🚀 Unsloth Start
Unsloth Start connects Claude Code, Codex and other agents to local models with one command.
Start Unsloth, load a model, open your project folder, then run:
unsloth start claude
Replace claude with any supported agent:
| Agent | Command |
|---|---|
| Claude Code | unsloth start claude |
| OpenAI Codex | unsloth start codex |
| Hermes Agent | unsloth start hermes |
| OpenClaw | unsloth start openclaw |
| OpenCode | unsloth start opencode |
| Pi Coding Agent | unsloth start pi |
Claude Code, Codex, OpenCode and Pi can keep their current model and use Unsloth as a local subagent:
unsloth start claude --as-subagent --model unsloth/model-GGUF:quant
📥 Install
Unsloth can be used in two ways: through Unsloth Studio, the web UI, or through Unsloth Core, the code-based version. Each has different requirements.
Unsloth Studio (web UI)
Unsloth Studio (Beta) works on Windows, Linux, WSL and macOS.
- CPU: Supported for Chat and Data Recipes currently
- NVIDIA: Training works on RTX 30/40/50, Blackwell, DGX Spark, Station and more
- macOS: Training, MLX and GGUF inference are ALL supported.
- AMD: Training, RL, chat and deployment work on Windows, WSL and Linux. Read the AMD guide.
- Vulkan: GGUF inference is supported on compatible GPUs, including Intel GPUs. Vulkan accelerates GGUF inference only; training still requires a supported PyTorch or MLX backend.
- Multi-GPU: Available now, with a major upgrade on the way
macOS, Linux, WSL:
curl -fsSL https://unsloth.ai/install.sh | sh
Use the same command to update.
To force the Vulkan llama.cpp backend, set UNSLOTH_FORCE_VULKAN=1 before installing or updating. The setting selects the llama.cpp binary bundle, so setting it only when launching Studio cannot replace an existing CPU bundle:
export UNSLOTH_FORCE_VULKAN=1
curl -fsSL https://unsloth.ai/install.sh | sh
Windows:
irm https://unsloth.ai/install.ps1 | iex
Use the same command to update.
To force the Vulkan llama.cpp backend, set the environment variable before running the installer or updater:
$env:UNSLOTH_FORCE_VULKAN=1
irm https://unsloth.ai/install.ps1 | iex
Re-running the current installer replaces a previously selected CPU bundle when the backend differs. A separate Vulkan SDK is not required; the GPU driver must provide a working Vulkan runtime.
Launch
unsloth studio -p 8888
For LAN or cloud access, add -H 0.0.0.0 (raw port only; add --cloudflare for a public URL). By default, Unsloth is accessible only locally.
To reach Unsloth over HTTPS, use unsloth studio --secure. Unsloth stays bound to localhost and is reached only through a free Cloudflare tunnel, which publishes it at a public https://*.trycloudflare.com URL (it fails closed if the tunnel can't start, so the raw port is never exposed). This makes Unsloth reachable from the internet, so anyone with the link and API key can use it and run code: keep your API key private (see Remote access below).
Docker
Use our Docker image unsloth/unsloth container. Run:
docker run -d -e JUPYTER_PASSWORD="mypassword" \
-p 8888:8888 -p 8000:8000 -p 2222:22 \
-v $(pwd)/work:/workspace/work \
--gpus all \
unsloth/unsloth
Developer, Nightly, Uninstall
To see developer, nightly and uninstallation etc. instructions, see advanced installation.
Unsloth Core (code-based)
Linux, WSL:
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv unsloth_env --python 3.13
source unsloth_env/bin/activate
uv pip install unsloth --torch-backend=auto
Windows:
winget install -e --id Python.Python.3.13
winget install --id=astral-sh.uv -e
uv venv unsloth_env --python 3.13
.\unsloth_env\Scripts\activate
uv pip install unsloth --torch-backend=auto
For Windows, pip install unsloth works only if you have PyTorch installed. Read our Windows Guide.
You can use the same Docker image as Unsloth Studio.
AMD, Intel:
For RTX 50x, B200, 6000 GPUs: uv pip install unsloth --torch-backend=auto. Read our guides for: Blackwell and DGX Spark.
To install Unsloth on AMD and Intel GPUs, follow our AMD Guide and Intel Guide.
📒 Free Notebooks
Train for free with our notebooks. You can use our new free Unsloth Studio notebook to run and train models for free in a web UI. Read our guide. Add dataset, run, then deploy your trained model.
| Model | Free Notebooks | Performance | Memory use |
|---|---|---|---|
| Gemma 4 (E2B) | ▶️ Start for free | 1.5x faster | 50% less |
| Qwen3.5 (4B) | ▶️ Start for free | 1.5x faster | 60% less |
| gpt-oss (20B) | ▶️ Start for free | 2x faster | 70% less |
| Qwen3.5 GSPO | ▶️ Start for free | 2x faster | 70% less |
| gpt-oss (20B): GRPO | ▶️ Start for free | 2x faster | 80% less |
| Qwen3: Advanced GRPO | ▶️ Start for free | 2x faster | 70% less |
| embeddinggemma (300M) | ▶️ Start for free | 2x faster | 20% less |
| Mistral Ministral 3 (3B) | ▶️ Start for free | 1.5x faster | 60% less |
| Llama 3.1 (8B) Alpaca | ▶️ Start for free | 2x faster | 70% less |
| Llama 3.2 Conversational | ▶️ Start for free | 2x faster | 70% less |
| Orpheus-TTS (3B) | ▶️ Start for free | 1.5x faster | 50% less |
- See all our notebooks for: Kaggle, GRPO, TTS, embedding & Vision
- See all our models and all our notebooks
- See detailed documentation for Unsloth here
🦥 Unsloth News
- AMD training: Train, run RL, chat and deploy on AMD GPUs across Windows, WSL and Linux. Guide
- GGUF hardware controls: Choose GPU/layer placement, offload MoE experts and use multi-GPU or Tensor Parallelism. #6414
- Local models for any agent: Use
unsloth startwith Claude Code, Codex, Hermes, OpenCode, OpenClaw, Pi and more through Unsloth's OpenAI- and Anthropic-compatible APIs. Guide - MCP control endpoint: Let compatible clients manage models, training, recipes, checkpoints and exports. #7191
- Local inference reliability: Resume long chats faster, recover stalled downloads and reuse existing GGUF files. #7204 • #6858 • #7209
- New models: Qwen-AgentWorld, Ornith, Kimi K2.7 Code and MiniMax M3
- GLM-5.2: Run Z.ai's 744B-parameter, 1M-context open model locally with Unsloth Dynamic GGUFs. Guide
- DeepSeek-V4: Run DeepSeek-V4-Flash locally with corrected multi-turn and tool-calling behavior. Guide
- DiffusionGemma: Run and fine-tune Google's diffusion language model with 1.8x faster inference in Unsloth Studio. Guide
- Qwen3.6: Run and train Qwen3.6 with MTP for 1.4-2.2x faster inference and NVFP4 quants for supported GPUs. Guide
- Gemma 4: Run and train Gemma 4 text, image and audio models with QAT, MTP, GGUF and MLX support. Guide
- MCP servers: Connect local models to files, apps, databases and external tools through Model Context Protocol. Guide
- Connections: Mix local models with API providers (OpenAI, Anthropic) or servers (vLLM, Ollama) in the same interface. Guide
- Introducing Unsloth Studio: our new web UI for running and training LLMs. Blog
- Train MoE LLMs 12x faster with 35% less VRAM - DeepSeek, GLM, Qwen and gpt-oss. Blog
- Embedding models: Unsloth now supports ~1.8-3.3x faster embedding fine-tuning. Blog • Notebooks
- New 7x longer context RL vs. all other setups, via our new batching algorithms. Blog
- New RoPE & MLP Triton Kernels & Padding Free + Packing: 3x faster training & 30% less VRAM. Blog
- 500K Context: Training a 20B model with >500K context is now possible on an 80GB GPU. Blog
- FP8 & Vision RL: You can now do FP8 & VLM GRPO on consumer GPUs. FP8 Blog • Vision RL
📥 Advanced Installation
The below advanced instructions are for Unsloth Studio. For Unsloth Core advanced installation, view our docs.
Developer / Nightly / Experimental installs: macOS, Linux, WSL:
The developer install builds from the main branch, which is the latest (nightly) source.
git clone https://github.com/unslothai/unsloth
cd unsloth
./install.sh --local
unsloth studio -p 8888
To install into an isolated location (its own virtual env, auth/, studio.db, cache and llama.cpp build), set UNSLOTH_STUDIO_HOME and pass it again at launch:
UNSLOTH_STUDIO_HOME="$PWD/.studio" ./install.sh --local
UNSLOTH_STUDIO_HOME="$PWD/.studio" unsloth studio -p 8888
Then to update :
cd unsloth && git pull
./install.sh --local
unsloth studio -p 8888
Developer / Nightly / Experimental installs: Windows PowerShell:
The developer install builds from the main branch, which is the latest (nightly) source.
git clone https://github.com/unslothai/unsloth.git
cd unsloth
Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass
.\install.ps1 --local
unsloth studio -p 8888
To install into an isolated location (its own virtual env, auth/, studio.db, cache and llama.cpp build), set UNSLOTH_STUDIO_HOME and pass it again at launch:
$env:UNSLOTH_STUDIO_HOME="$PWD\.studio"; .\install.ps1 --local
$env:UNSLOTH_STUDIO_HOME="$PWD\.studio"; unsloth studio -p 8888
Then to update :
cd unsloth; git pull
.\install.ps1 --local
unsloth studio -p 8888
Remote access: --secure (HTTPS tunnel) vs raw port
By default unsloth studio binds to 127.0.0.1 (this machine only). To reach it from another device, pick one of:
--secure(recommended): serve only through a free Cloudflare HTTPS link. Unsloth stays bound to localhost and the tunnel provides the public URL; it fails closed (does not start) if the tunnel can't come up, so the raw port is never exposed.
unsloth studio --secure -p 8888
-H 0.0.0.0: bind the raw port on all network interfaces, reachable from anywhere on the network (subject to your firewall). It does not create a public internet URL; add--cloudflareto also publish an internet-reachablehttps://*.trycloudflare.comlink even behind a firewall. Only use this on a network you trust.
unsloth studio -H 0.0.0.0 -p 8888
The Cloudflare tunnel is off by default: -H 0.0.0.0 exposes the raw port only, not a public internet URL. Pair the wildcard bind with --cloudflare (unsloth studio -H 0.0.0.0 --cloudflare) to also publish a public https://*.trycloudflare.com link, or prefer --secure (above), which keeps the raw port private. --cloudflare has no effect on a loopback bind.
On a wildcard bind Unsloth works out the address to share by asking ifconfig.me for the public IP, then asks check-host.net whether that port is reachable so it can tell you if a firewall is in the way. Both contact a third party. Set UNSLOTH_STUDIO_DISABLE_PUBLIC_CHECK=1 to skip them; the banner then shows the LAN address and no reachability line.
The first time Unsloth is published on a public URL (--secure or --cloudflare) with the auto-generated admin password still in place, it asks for a new admin password in the terminal (masked input with confirmation) before the public link goes up. Without an attached terminal it warns instead and keeps the bootstrap deadline: Unsloth shuts down after UNSLOTH_STUDIO_BOOTSTRAP_TIMEOUT (default 1 hour) unless the password is changed in the web UI.
For headless setups that cannot answer that prompt, set the initial admin password non-interactively with --password (only takes effect when no password is set yet; if one already exists it is a hard error, so rotate later with unsloth studio reset-password):
unsloth studio --secure --password 'your-strong-password' # visible in `ps`/history
UNSLOTH_STUDIO_PASSWORD='your-strong-password' unsloth studio --secure # via env var
printf '%s\n' 'your-strong-password' | unsloth studio --secure --password - # via stdin
A literal --password VALUE is visible in the process list and shell history, so prefer the UNSLOTH_STUDIO_PASSWORD env var or --password - (stdin) for automation. This applies to any launch (public or a headless -H 0.0.0.0 bind), and the password is set in the parent before the server binds, so it never reaches a re-executed child process.
Server-side tools (web search, Python and terminal code execution) run as your user and are on by default. Anyone who can reach the server with the API key can run code on this machine, so keep your API key private and pass --disable-tools when exposing Unsloth.
Advanced launch options
Installer options can be passed as environment variables. On macOS, Linux and WSL place the variable after the pipe so the shell passes it to sh; on Windows set it with $env: before piping to iex.
Skip PyTorch (GGUF-only mode):
curl -fsSL https://unsloth.ai/install.sh | UNSLOTH_NO_TORCH=1 sh
$env:UNSLOTH_NO_TORCH=1; irm https://unsloth.ai/install.ps1 | iex
Skip the post-install prompt that starts Unsloth (useful for automated installs):
curl -fsSL https://unsloth.ai/install.sh | UNSLOTH_SKIP_AUTOSTART=1 sh
$env:UNSLOTH_SKIP_AUTOSTART=1; irm https://unsloth.ai/install.ps1 | iex
Pin the Python version:
curl -fsSL https://unsloth.ai/install.sh | UNSLOTH_PYTHON=3.12 sh
$env:UNSLOTH_PYTHON='3.12'; irm https://unsloth.ai/install.ps1 | iex
Install to a custom location with UNSLOTH_STUDIO_HOME:
curl -fsSL https://unsloth.ai/install.sh | UNSLOTH_STUDIO_HOME=/abs/path sh
$env:UNSLOTH_STUDIO_HOME='C:\path'; irm https://unsloth.ai/install.ps1 | iex
On macOS, the installer defaults to the system certificate store (UV_SYSTEM_CERTS=1) so uv trusts the CAs in your Keychain, needed behind TLS-inspecting proxies (Cisco Umbrella, Zscaler, etc.). Opt out with:
curl -fsSL https://unsloth.ai/install.sh | UV_SYSTEM_CERTS=0 sh
Point the frontend build at a corporate npm mirror/proxy with UNSLOTH_NPM_REGISTRY (for the developer install behind a firewall that blocks registry.npmjs.org):
UNSLOTH_NPM_REGISTRY=https://artifactory.example.com/api/npm/npm/ ./install.sh --local
$env:UNSLOTH_NPM_REGISTRY='https://artifactory.example.com/api/npm/npm/'; .\install.ps1 --local
It is threaded as --registry into the Unsloth frontend npm/bun installs; the supply-chain locks (7-day min-release-age, exact version pins) stay in force.
Cap Unsloth's native CPU thread pools on high-core hosts: UNSLOTH_CPU_THREADS=8 unsloth studio -p 8888.
Uninstall
The recommended way to fully remove Unsloth Studio is the matching uninstall script for your OS. It stops any running servers, removes the install dir, the launcher data dir, the desktop shortcut, and any platform-specific entries (macOS .app bundle + Launch Services on Mac; Start Menu, HKCU\Software\Unsloth registry key and user PATH entries on Windows):
- MacOS, WSL, Linux:
curl -fsSL https://raw.githubusercontent.com/unslothai/unsloth/main/scripts/uninstall.sh | sh - Windows (PowerShell):
irm https://raw.githubusercontent.com/unslothai/unsloth/main/scripts/uninstall.ps1 | iex
If you only want to drop the install dir and keep the launcher/shortcut for a later reinstall, you can instead run rm -rf ~/.unsloth/studio (Mac/Linux/WSL) or Remove-Item -Recurse -Force "$HOME\.unsloth\studio" (Windows). The model cache at ~/.cache/huggingface is not touched by any of these.
For more info, see our docs.
Deleting model files
You can delete old model files either from the bin icon in model search or by removing the relevant cached model folder from the default Hugging Face cache directory. By default, HF uses:
- MacOS, Linux, WSL:
~/.cache/huggingface/hub/ - Windows:
%USERPROFILE%\.cache\huggingface\hub\
💚 Community and Links
| Type | Links |
|---|---|
| Join Discord server | |
| Join Reddit community | |
| 📚 Documentation & Wiki | Read Our Docs |
| Follow us on X | |
| 🔮 Our Models | Unsloth Catalog |
| ✍️ Blog | Read our Blogs |
Citation
You can cite the Unsloth repo as follows:
@software{unsloth,
author = {Daniel Han, Michael Han and Unsloth team},
title = {Unsloth},
url = {https://github.com/unslothai/unsloth},
year = {2023}
}
If you trained a model with 🦥Unsloth, you can use this cool sticker!
License
Unsloth uses a dual-licensing model of Apache 2.0 and AGPL-3.0. The core Unsloth package remains licensed under Apache 2.0, while certain optional components, such as the Unsloth Studio UI are licensed under the open-source license AGPL-3.0.
This structure helps support ongoing Unsloth development while keeping the project open source and enabling the broader ecosystem to continue growing.
Thank You to
- The llama.cpp library that lets users run and save models with Unsloth
- The Hugging Face team and their libraries: transformers and TRL
- The Pytorch and Torch AO team for their contributions
- NVIDIA for their NeMo DataDesigner library and their contributions
- And of course for every single person who has contributed or has used Unsloth!