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@@ -12,11 +12,12 @@ This repo contains the Base (completed pretrain cudalm checkpoint) variant of LS
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  - T1 sidecar: 48KB
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  - Environment vars: 295B
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- # LS-Micro-Base: Smallest and fastest model in the LS family.
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  | | HellaSwag | ARC-E | ARC-C | PIQA | LAMBADA | ArithMark | II* |
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  | ------------- | --------- | ----- | ----- | -------- | ------- | --------- | ---- |
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  | LS-Micro-Base | 27.41 | 34.72 | 21.93 | 54.84 | 11.06 | 35.50 | 7.24 |
 
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  | LS-Tiny-Base | 27.11 | 32.24 | 24.49 | 53.81 | 2.99 | 34.00 | 6.22 |
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  LS-Micro is 3x smaller than LS-TIny (11M vs 31M), and has 3x less active parameters (5M vs 15M), yet has a 16% higher intelligence index.
@@ -51,21 +52,9 @@ Multiple choice:
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  | relevance | 20 | 5.0% | 30.0% | 25.0% |
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  | consistency | 18 | 61.1% | 72.2% | 25.0% |
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  | arithmetic | 15 | 46.7% | 46.7% | 25.0% |
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- | ALL: LS-Micro | 118 | **46.6%** | **52.5%** | 25.0% |
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- | ALL: LS-Tiny | 118 | 40.7% | 47.5% | 25.0% |
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-
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- Open ended generation:
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- | category | n | eot | kw | degen | rel/tok | relwin |
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- | -------- | -- | ------ | ----- | ----- | ------- | ------ |
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- | greet | 8 | 75.0% | 62.5% | 12.5% | +0.428 | 100.0% |
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- | explain | 16 | 62.5% | 75.0% | 6.2% | +0.624 | 100.0% |
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- | advice | 16 | 37.5% | 68.8% | 6.2% | +0.436 | 100.0% |
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- | creative | 16 | 62.5% | 93.8% | 0.0% | +0.925 | 100.0% |
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- | list | 16 | 68.8% | 43.8% | 6.2% | +0.806 | 100.0% |
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- | howto | 12 | 25.0% | 58.3% | 8.3% | +0.334 | 100.0% |
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- | opinion | 8 | 75.0% | 62.5% | 0.0% | +1.104 | 100.0% |
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- | math | 4 | 100.0% | 0.0% | 0.0% | +2.438 | 100.0% |
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- | ALL | 96 | 58.3% | 64.6% | 5.2% | +0.736 | 100.0% |
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  ## The base model is horrendous at chat, and is intended to be used as a base to be finetuned for specialised tasks.
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  To try LS-Micro or to train/finetune the model, follow this quickstart guide:
 
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  - T1 sidecar: 48KB
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  - Environment vars: 295B
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+ # LS-Micro: Smallest and fastest model in the LS family.
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  | | HellaSwag | ARC-E | ARC-C | PIQA | LAMBADA | ArithMark | II* |
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  | ------------- | --------- | ----- | ----- | -------- | ------- | --------- | ---- |
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  | LS-Micro-Base | 27.41 | 34.72 | 21.93 | 54.84 | 11.06 | 35.50 | 7.24 |
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+ | LS-Micro-CPT | 26.84 | 34.22 | 21.93 | 55.28 | 9.94 | 35.70 | 7.23 |
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  | LS-Tiny-Base | 27.11 | 32.24 | 24.49 | 53.81 | 2.99 | 34.00 | 6.22 |
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  LS-Micro is 3x smaller than LS-TIny (11M vs 31M), and has 3x less active parameters (5M vs 15M), yet has a 16% higher intelligence index.
 
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  | relevance | 20 | 5.0% | 30.0% | 25.0% |
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  | consistency | 18 | 61.1% | 72.2% | 25.0% |
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  | arithmetic | 15 | 46.7% | 46.7% | 25.0% |
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+ | LS-Micro-Base | 118 | **46.6%** | **52.5%** | 25.0% |
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+ | LS-Micro-CPT | 118 | 37.3% | 40.7% | 25.0% |
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+ | LS-Tiny-Base | 118 | 40.7% | 47.5% | 25.0% |
 
 
 
 
 
 
 
 
 
 
 
 
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  ## The base model is horrendous at chat, and is intended to be used as a base to be finetuned for specialised tasks.
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  To try LS-Micro or to train/finetune the model, follow this quickstart guide: