Text Generation
MLX
Safetensors
gemma3
reasoning
thinking
deep thinking
finetune
creative
creative writing
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
science fiction
romance
all genres
story
writing
vivid prose
vivid writing
fiction
roleplaying
bfloat16
swearing
rp
unsloth
context 128k
conversational
8-bit precision
Instructions to use nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Unsloth Studio
How to use nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx 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 nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx 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 nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx", max_seq_length=2048, ) - MLX LM
How to use nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nightmedia/Gemma-3-27b-it-HERETIC-Gemini-Deep-Reasoning-q8-mlx", "messages": [ {"role": "user", "content": "Hello"} ] }'
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