To get this model running locally in no time, utilize the built-in WSL tools.
Kindly follow the on-screen instructions below.
All large files and heavy weights are downloaded automatically by the script.
You don’t need to tweak anything; the installer picks the highest performing setup.
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🔐 Hash sum: a0e3ac1b222faa0939cbfd817b637aa5 | 📅 Last update: 2026-06-28
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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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