If you need a near-instant local setup, just fetch files via a basic curl request.
Make sure you implement the steps mentioned below.
The setup auto-downloads all needed files (several GBs).
Once launched, the wizard detects your specs to configure the model for maximum efficiency.
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💾 File hash: ed24dfa979614dc507b0f4a2b2f0a078 (Update date: 2026-06-26)
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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 8×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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