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tritter-500m-bitnet
tzervas/tritter-500m-bitnet
tritter-500m-bitnet is a machine learning model from tzervas. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A 500M parameter BitNet b1.58 ternary-quantized model trained for code generation.
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Public
Updated Jan 30, 2026
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2.1 GB
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At a glance
- License
- mit
- Access
- Public
- Created
- Jan 29, 2026
- Updated
- Jan 30, 2026
- SHA
- 41d3e72c
Model card
From the Hugging Face model README
Tritter 500M BitNet
A 500M parameter BitNet b1.58 ternary-quantized model trained for code generation.
Training Details
- Parameters: 524,372,480
- Training tokens: 118,111,072
- Final loss: 11.2343
- Min loss: 11.0722
- Tokens/sec: 23679.4
- Training duration: 1:23:07.915359
- GPU: NVIDIA GeForce RTX 5080
Checkpoints
Intermediate checkpoints available at 10%, 20%, ..., 90% progress.
Generated with Tritter
- License
- mit
- Created
- Jan 29, 2026
- Updated
- Jan 30, 2026