Text Generation
MLX
Safetensors
English
Hungarian
bitnet
b1.58
ternary
quantization
apple-silicon
llm
sovereign
Instructions to use PeetPedro/quantal-ternary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use PeetPedro/quantal-ternary with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("PeetPedro/quantal-ternary") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use PeetPedro/quantal-ternary with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "PeetPedro/quantal-ternary" --prompt "Once upon a time"
- Atomic Chat
| { | |
| "capsule_id": "quantal-1786648501", | |
| "address": { | |
| "role": "matrix.ternary.quantal", | |
| "tags": [ | |
| "quantal", | |
| "bitnet", | |
| "ternary", | |
| "ayeos" | |
| ] | |
| }, | |
| "payload_type": "ternary_matrix", | |
| "metadata": { | |
| "base_model": "Qwen/Qwen2.5-0.5B", | |
| "reconstruction_model": "Qwen/Qwen2.5-0.5B", | |
| "binary": false, | |
| "group_size": 64, | |
| "epochs": 7, | |
| "final_loss": null, | |
| "val_loss": 2.1469, | |
| "checkpoint_sha256": "21294c68f05f36fcf72a25246caea92cac6664173f684328a2aad72f9a988285", | |
| "checkpoint_size_bytes": 988097722, | |
| "checkpoint_source": "vast.ai remote GPU run", | |
| "export_tool": "MLX-QUANT fork mlx 0.32.0 (ternary quantize)", | |
| "export_complete": true, | |
| "best_val": 2.1469, | |
| "quantizer": "thresholded-ternary (per-group 64, zero state)", | |
| "deployed_forward": true | |
| }, | |
| "timestamp": 1786648501, | |
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