Model Distillation
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Model Distillation has 6 facts recorded in Dontopedia across 2 references.
Mostly:addresses low compute(1), rdf:type(1), objective(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
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desiresToDoDesires to Do(1)
- Lisamegawatts
ex:lisamegawatts
hasMemberHas Member(1)
- All Tips
ex:all-tips
isReducedByIs Reduced by(1)
- Inference Time
ex:inference-time
Other facts (6)
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| Predicate | Value | Ref |
|---|---|---|
| Addresses Low Compute | null | [1] |
| Rdf:type | Model Compression Technique | [2] |
| Objective | create a smaller model that mimics the larger one | [2] |
| Relationship to | Larger Model | [2] |
| Performance Benefit | further reduce inference time | [2] |
| Part of | Additional Tips Section | [2] |
Timeline
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References (2)
ctx:discord/blah/prompt-bullshit/part-1ctx:claims/beam/52a2411f-6cdc-40f7-817f-3feef46e4a6b- full textbeam-chunktext/plain1 KB
doc:beam/52a2411f-6cdc-40f7-817f-3feef46e4a6bShow excerpt
- The model is pruned by removing 50% of the neurons in linear layers. This reduces the number of parameters and improves inference speed. 4. **Efficient Tokenizer**: - The `use_fast=True` option is used to enable the fast tokenizer …
See also
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