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September 8, 2025 03:28
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explain this model naming MODEl-4KT-1kV-10E-64B-ES-CQA-v2
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| This appears to be a systematic model naming convention that encodes key specifications and characteristics. Let me break down each component: | |
| MODEL-4KT-1kV-10E-64B-ES-CQA-v2 | |
| MODEL - Base identifier indicating this is a model designation | |
| 4KT - Likely "4K Tokens" referring to context length or input size (4,000 tokens) | |
| 1kV - Probably "1K Vocabulary" indicating vocabulary size (1,000 terms) or possibly "1kV" as in voltage if this is hardware-related | |
| 10E - Could mean "10 Epochs" (training iterations) or "10 Experts" if it's a mixture-of-experts architecture | |
| 64B - Most likely "64 Billion" parameters, indicating model size | |
| ES - Possibly "Early Stopping," "Ensemble," "Expert System," or a specific training technique | |
| CQA - Likely "Conversational Question Answering" or "Closed-book QA" indicating the model's primary task/capability | |
| v2 - Version 2, indicating this is the second iteration |
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