Text Generation
MLX
Safetensors
gemma3_text
chat
abliterated
uncensored
conversational
8-bit precision
Instructions to use oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit 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("oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit") 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
- MLX LM
How to use oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
How to use from
MLX LMRun an OpenAI-compatible server
# Install MLX LM
uv tool install mlx-lm# Start the server
mlx_lm.server --model "oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Quick Links
oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit
This model oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit was converted to MLX format from huihui-ai/gemma-3-1b-it-abliterated using mlx-lm version 0.22.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
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Model size
0.4B params
Tensor type
F16
·
U32 ·
Hardware compatibility
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8-bit
Model tree for oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit
Base model
huihui-ai/gemma-3-1b-it-abliterated
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm# Interactive chat REPL mlx_lm.chat --model "oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-8bit"