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 (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -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 serve -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 serve -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 serve -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

New discussion

Resources

View closed (12)

Request: DOI

#49 opened about 6 hours ago by

Hmham9263

Consider running a Wan2.2 training on this dataset

#48 opened about 24 hours ago by

Remiel

Upload de-1200.jpg

#47 opened 2 days ago by

gazanckebobovich

Results from 100 generations, Some have watermarks, 66% sucess rate

#46 opened 3 days ago by

bmgjet

Really confused

#45 opened 4 days ago by

locxkyd

Test

❤️ 1

#44 opened 9 days ago by

runioer

On first two message without even providing prompt it says "prohibited generating sexually explicit content"

#42 opened 16 days ago by

susheelkasab

Int8 quantops version

🔥 1

#40 opened 17 days ago by

FearL0rd

Bazaar: Monetize your Text-to-Speech Model as a pay-per-query API

#38 opened 25 days ago by

gionuibk

Bazaar: Monetize your Text-to-Speech Model as a pay-per-query API

#37 opened 25 days ago by

gionuibk

Update model card to show correct relationship to base model and pipeline tag

#36 opened 25 days ago by

plz12345

I don't get it

👍 1

#35 opened 26 days ago by

nfect

Can't detect file from Checkpoints

🔥 1

#33 opened about 1 month ago by

KKK65

I've pruned the LoRA to save some space

👀 3

#32 opened about 1 month ago by

woctordho

Demo

#31 opened about 1 month ago by

Kabsne

Update README.md

#29 opened about 1 month ago by

itsene

Congrats on 1 MILLION downloads

🔥 7

#28 opened about 1 month ago by

plz12345

the model is not working at all on google collab nor in kaggle any workaround to make it work on the cloud?

#27 opened about 1 month ago by

jaimd

What about audio VAE ?

#25 opened about 1 month ago by

School73

short movie script

#24 opened about 1 month ago by

Arwataha222

Programmatic Sulphur-2 on RTX 5090 in 2 commands ⚡

❤️ 2

#22 opened about 2 months ago by

BigBlueWhale

HOWW TO DOWNLOAD AND USE ON COMFYUI HELP PLEEASEE

❤️ 1

#21 opened about 2 months ago by

JesusKill

i2v workflow missing nodes

#20 opened about 2 months ago by

ironspider123abc

distilled GGUF available for those with low vram requirements

👍 3

#17 opened about 2 months ago by

realrebelai

Discord invite link says it's invalid

#16 opened about 2 months ago by

plz12345

godot 4.2.6 P.I.C partner in code

#15 opened about 2 months ago by

retrodad3986

distilled works fine, base doesn't

#14 opened about 2 months ago by

AliceThirty

Excellent work

#13 opened about 2 months ago by

arounduniverse

Is it possible to train with the Sulphur2-base dev model?

#12 opened about 2 months ago by

IO999

Hi.“I want to know where these two LoRA models are used and what the differences are between them。

👍 5

#9 opened about 2 months ago by

bsarea

How to use it?

#8 opened about 2 months ago by

Evg123

Any code snippet for inference?

#6 opened about 2 months ago by

SergioGutierrez

Error: 400: with ollama

#5 opened about 2 months ago by

razvanab

Sulphur_final in workflow ?

#4 opened about 2 months ago by

ARYTYR

workflows

#3 opened about 2 months ago by

svippixel

Pleaase upload nvfp4, fp8, gguf versions

👍 9

#2 opened about 2 months ago by

shivshankar

As any other model, its a neutered "curated" dataset

🤗🧠 2

#1 opened about 2 months ago by

nyarlathotep12