Instructions to use unsloth/gemma-2b-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unsloth/gemma-2b-bnb-4bit with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="unsloth/gemma-2b-bnb-4bit")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("unsloth/gemma-2b-bnb-4bit")
model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2b-bnb-4bit", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use unsloth/gemma-2b-bnb-4bit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "unsloth/gemma-2b-bnb-4bit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/gemma-2b-bnb-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/unsloth/gemma-2b-bnb-4bit

SGLang

How to use unsloth/gemma-2b-bnb-4bit with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "unsloth/gemma-2b-bnb-4bit" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/gemma-2b-bnb-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "unsloth/gemma-2b-bnb-4bit" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/gemma-2b-bnb-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio

How to use unsloth/gemma-2b-bnb-4bit with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for unsloth/gemma-2b-bnb-4bit to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for unsloth/gemma-2b-bnb-4bit to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for unsloth/gemma-2b-bnb-4bit to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="unsloth/gemma-2b-bnb-4bit",
    max_seq_length=2048,
)

Docker Model Runner
How to use unsloth/gemma-2b-bnb-4bit with Docker Model Runner:
```
docker model run hf.co/unsloth/gemma-2b-bnb-4bit
```

Model seems to be not PEFT model

by neuralresearcher - opened Jun 3, 2024

Discussion

neuralresearcher

Jun 3, 2024

Hi guys,
I ran into the follwoing error during this tutorial https://colab.research.google.com/drive/15gGm7x_jTm017_Ic8e317tdIpDG53Mtu?usp=sharing#scrollTo=2eSvM9zX_2d3. (error is the same for all models, in the test run I used mistral).

Specs:

Ubuntu 20.04
conda 24.1.2

As I can neither find any occurrences of the error online, nor seem to be capable of finding the issue myself, I am reaching out to you guys.
Does anyone know where it comes from? Thanks for your help!

HTTPError Traceback (most recent call last)
File ~/anaconda3/envs/unsloth/lib/python3.10/site-packages/huggingface_hub/utils/_errors.py:304, in hf_raise_for_status(response, endpoint_name)
303 try:
--> 304 response.raise_for_status()
305 except HTTPError as e:

File ~/anaconda3/envs/unsloth/lib/python3.10/site-packages/requests/models.py:1024, in Response.raise_for_status(self)
1023 if http_error_msg:
-> 1024 raise HTTPError(http_error_msg, response=self)

HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/unsloth/mistral-7b-bnb-4bit/resolve/main/config.json

The above exception was the direct cause of the following exception:

RepositoryNotFoundError Traceback (most recent call last)
File ~/anaconda3/envs/unsloth/lib/python3.10/site-packages/transformers/utils/hub.py:399, in cached_file(path_or_repo_id, filename, cache_dir, force_download, resume_download, proxies, token, revision, local_files_only, subfolder, repo_type, user_agent, _raise_exceptions_for_gated_repo, _raise_exceptions_for_missing_entries, _raise_exceptions_for_connection_errors, _commit_hash, **deprecated_kwargs)
397 try:
398 # Load from URL or cache if already cached
--> 399 resolved_file = hf_hub_download(
400 path_or_repo_id,
401 filename,
402 subfolder=None if len(subfolder) == 0 else subfolder,
403 repo_type=repo_type,
404 revision=revision,
...
--> 102 raise RuntimeError(f"Unsloth: {model_name} is not a full model or a PEFT model.")
104 # Check base model again for PEFT
105 model_name = _get_model_name(peft_config.base_model_name_or_path, load_in_4bit)

RuntimeError: Unsloth: unsloth/mistral-7b-bnb-4bit is not a full model or a PEFT model.

danielhanchen

Unsloth AI org Jun 7, 2024

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Model seems to be not PEFT model

As I can neither find any occurrences of the error online, nor seem to be capable of finding the issue myself, I am reaching out to you guys.Does anyone know where it comes from? Thanks for your help!

As I can neither find any occurrences of the error online, nor seem to be capable of finding the issue myself, I am reaching out to you guys.
Does anyone know where it comes from? Thanks for your help!