Setting up this model locally is incredibly fast if you use the native CMD prompt.
Kindly follow the on-screen instructions below.
The process automatically pulls down gigabytes of critical model assets.
During setup, the script automatically determines and applies the best settings.
ESMC-6B is a 6âbillion parameter language model designed for both conversational AI and code generation.
It leverages a hybrid transformer architecture that combines sparse attention with rotary positional embeddings to achieve faster inference.
The model was trained on a diverse corpus of 1.5âŻtrillion tokens, covering web text, scholarly articles, and openâsource code.
Key specifications include the following details.
| Parameters | 6âŻB |
| Context length | 8K tokens |
| Training data | 1.5âŻT tokens |
| Inference speed | 120 tokens/s on 8ĂA100 |
Compared to previous models, ESMC-6B delivers superior performance on benchmarks while maintaining a compact footprint, making it suitable for deployment in resourceâconstrained environments.
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