Instructions to use SulphurAI/Sulphur-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SulphurAI/Sulphur-2-base with Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("SulphurAI/Sulphur-2-base", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

llama-cpp-python

How to use SulphurAI/Sulphur-2-base with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="SulphurAI/Sulphur-2-base",
	filename="prompt_enhancer/mmproj-BF16.gguf",
)

llm.create_chat_completion(
	messages = "\"A young man walking on the street\""
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use SulphurAI/Sulphur-2-base with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf SulphurAI/Sulphur-2-base:BF16
# Run inference directly in the terminal:
llama-cli -hf SulphurAI/Sulphur-2-base:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf SulphurAI/Sulphur-2-base:BF16
# Run inference directly in the terminal:
llama-cli -hf SulphurAI/Sulphur-2-base:BF16

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf SulphurAI/Sulphur-2-base:BF16
# Run inference directly in the terminal:
./llama-cli -hf SulphurAI/Sulphur-2-base:BF16

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf SulphurAI/Sulphur-2-base:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf SulphurAI/Sulphur-2-base:BF16

Use Docker

docker model run hf.co/SulphurAI/Sulphur-2-base:BF16

LM Studio
Jan
Ollama
How to use SulphurAI/Sulphur-2-base with Ollama:
```
ollama run hf.co/SulphurAI/Sulphur-2-base:BF16
```

Unsloth Studio

How to use SulphurAI/Sulphur-2-base 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 SulphurAI/Sulphur-2-base 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 SulphurAI/Sulphur-2-base to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for SulphurAI/Sulphur-2-base to start chatting

How to use SulphurAI/Sulphur-2-base with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf SulphurAI/Sulphur-2-base:BF16

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "SulphurAI/Sulphur-2-base:BF16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use SulphurAI/Sulphur-2-base with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf SulphurAI/Sulphur-2-base:BF16

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default SulphurAI/Sulphur-2-base:BF16

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use SulphurAI/Sulphur-2-base with Docker Model Runner:
```
docker model run hf.co/SulphurAI/Sulphur-2-base:BF16
```

Lemonade

How to use SulphurAI/Sulphur-2-base with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull SulphurAI/Sulphur-2-base:BF16

Run and chat with the model

lemonade run user.Sulphur-2-base-BF16

List all available models

lemonade list

short movie script

#24

by Arwataha222 - opened 27 days ago

Discussion

Arwataha222

27 days ago

Short Movie Script: “Fragments of Her”

Characters

Mrs. Salma Hassan (63 years old) – Patient
Mona – Daughter
Dr. Kareem – Neurologist
Pharmacist – Community pharmacist

Scene 1: Opening (Home – Morning)
(Mrs. Salma is in the kitchen, confused, holding a kettle.)

Mona:
Mom… you already made tea.

Mrs. Salma (confused):
Did I? I don’t remember…

Narrator:
Alzheimer’s disease is the most common cause of dementia, affecting millions worldwide. Age above 65 is the strongest risk factor. Other risks include female gender, family history, hypertension, and diabetes.

Scene 2: Hospital Admission
(Mrs. Salma is brought to the clinic)

Mona:
Doctor, she’s been forgetting everything… even my name sometimes. She gets lost and repeats questions.

Dr.Kareem: Can you remember when her memory problems began

Mona: About 2 years ago

Dr. Kareem:
These symptoms suggest cognitive decline. Let’s assess her.

Scene 3: Clinical Manifestations
Dr. Kareem (examining):

Memory loss (recent events)
Disorientation to time and place
Difficulty finding words
Behavioral changes (irritability)

Mrs. Salma:
Where am I…?

Scene 4: Diagnosis & Examination

Dr. Kareem:
We’ll perform the Mini-Mental State Examination (MMSE).

(He asks questions)

Dr. Kareem (to Mona):
Her MMSE score is 18/30, indicating moderate Alzheimer’s disease.

Narrator:
Diagnosis is clinical, supported by cognitive scales like MMSE, and imaging to exclude other causes.
Lab tests:
Normal kidney and liver functions
Normal thyroid function and CBC
Neuropsychological testing: Normal MRI
Past medical history: DM and HTN

Scene 5: Treatment Plan

Dr. Kareem:
We’ll start treatment:

Rivastigmine capsule 1.5 mg twice daily and it may increase to 3-6 mg twice daily after 2 weeks

Mona:
Are there any side effects?

Dr. Kareem:
Yes, she may suffer from some nausea and vomitting

Scene 6: Pharmacy Scene
(At pharmacy)

Pharmacist to Mona
Here is Rivastigmine. Let me explain:

Counseling Points:

She should take the capsule twice daily
she may suffer from some nausea and vomiting
It is better to be taken with food
Do not stop suddenly

Mona:
Okay, thank you.

Scene 7: Adverse Effect Appears
(At home – Mrs. Salma feels dizzy and nearly faints and she is suffering from severe N&V)

Mona:
Mom! You look pale!

Scene 8: Referral Back to Physician after 1 week
(Back to doctor)

Dr. Kareem:
Your mom can not tolerate the side effects of the medication
Solution:

Switch to donepezil patch 4.6 mg every 24 hours
Apply the patch the day following the last oral dose

Scene 10: Monitoring Plan

Dr. Kareem:
We will monitor:

Efficacy:

If no improvement , increase the dose of the patch to 9.5 mg every 24 hours
MMSE score for 3-6 months
Daily functioning

Safety:
Monitor cholinergic side effects

Final Scene: Emotional Close
(Mona helping her mother look at old photos)

Mrs. Salma (smiling faintly):
You look familiar…

Mona (holding tears):
I’m your daughter, mom.

Narrator:
Alzheimer’s disease slowly steals memories—but early diagnosis, proper treatment, and compassionate care can preserve dignity and quality of life.

aayushhumai

22 days ago

Have you generated this if yes let me give some clips for same I would like to see the model at work

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment