Text Generation
MLX
Safetensors
English
nemotron_h
nvidia
nemotron-cascade-2
reasoning
general-purpose
SFT
RL
conversational
custom_code
4-bit precision
Instructions to use RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 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("RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4") 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
- LM Studio
- Pi new
How to use RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4"
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 RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4
Run Hermes
hermes
- MLX LM
How to use RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4", "messages": [ {"role": "user", "content": "Hello"} ] }'
Edit: 2026-03-25
Recommend Quantized Model: RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-oQ3.5
This model was converted to MLX format from nvidia/Nemotron-Cascade-2-30B-A3B using mlx-lm version 0.30.7.
Conversion Command
$ uv run mlx_lm.convert --hf-path nvidia/Nemotron-Cascade-2-30B-A3B --mlx-path Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 -q --q-mode mxfp4 -q-group-size 32
Benchmark
| Model | File size | MMLU | JMMLU | HELLASWAG | ARC_CHALLENGE | GSM8K |
|---|---|---|---|---|---|---|
| Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 | 15.65 GB | 45.7% | 33.7% | 28.3% | 72.3% | 82.3% |
| Nemotron-Cascade-2-30B-A3B-oQ3.5 | 13.32 GB | 65.7% | 61.0% | 76.0% | 85.7% | 89.7% |
| Nemotron-Cascade-2-30B-A3B-oQ4 | 16.91 GB | 68.3% | 61.7% | - | - | - |
Detail
| Model | Benchmark | Accuracy | Correct | Total | Time(s) |
|---|---|---|---|---|---|
| Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 | MMLU | 45.7% | 137 | 300 | 946.7 |
| Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 | JMMLU | 33.7% | 101 | 300 | 558.5 |
| Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 | HELLASWAG | 28.3% | 85 | 300 | 647 |
| Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 | GSM8K | 82.3% | 247 | 300 | 1781.6 |
| Nemotron-Cascade-2-30B-A3B-mlx-mxfp4 | ARC_CHALLENGE | 72.3% | 217 | 300 | 462.5 |
| Nemotron-Cascade-2-30B-A3B-oQ3.5 | MMLU | 65.7% | 197 | 300 | 696 |
| Nemotron-Cascade-2-30B-A3B-oQ3.5 | JMMLU | 61.0% | 183 | 300 | 294.7 |
| Nemotron-Cascade-2-30B-A3B-oQ3.5 | HELLASWAG | 76.0% | 228 | 300 | 314.4 |
| Nemotron-Cascade-2-30B-A3B-oQ3.5 | GSM8K | 89.7% | 269 | 300 | 992.6 |
| Nemotron-Cascade-2-30B-A3B-oQ3.5 | ARC_CHALLENGE | 85.7% | 257 | 300 | 204.5 |
| Nemotron-Cascade-2-30B-A3B-oQ4 | MMLU | 68.3% | 205 | 300 | 572.7 |
| Nemotron-Cascade-2-30B-A3B-oQ4 | JMMLU | 61.7% | 185 | 300 | 239.2 |
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Model size
32B params
Tensor type
U8
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BF16 ·
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Hardware compatibility
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4-bit
Model tree for RepublicOfKorokke/Nemotron-Cascade-2-30B-A3B-mlx-mxfp4
Base model
nvidia/Nemotron-Cascade-2-30B-A3B