Running this model locally is fastest when deployed through a PowerShell script.
Please adhere to the deployment steps listed below.
The script takes care of fetching the multi-gigabyte model weights.
The automated script takes care of everything, tailoring the setup to your specs.
ESMC-6B is a 6‑billion 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 1.5 trillion tokens, covering web text, scholarly articles, and open‑source code.
Key specifications include the following details.
| Parameters | 6 B |
| Context length | 8K tokens |
| Training data | 1.5 T tokens |
| Inference speed | 120 tokens/s on 8Ă—A100 |
Compared to previous models, ESMC-6B delivers superior performance on benchmarks while maintaining a compact footprint, making it suitable for deployment in resource‑constrained environments.
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