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KoSoLAR 10.7B V0.2 1.4 Dedup by jingyeom

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  32bit   Autotrain compatible   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

KoSoLAR 10.7B V0.2 1.4 Dedup Benchmarks

ARC: 60.07 vs 96.7 (so35)-37.9%
HellaSwag: 82.18 vs 95.3 (gpt4)-13.8%
MMLU: 61.3 vs 88.3 (so35)-30.6%
TruthfulQA: 45.38 vs 59 (gpt4)-23.1%
WinoGrande: 74.66 vs 87.5 (gpt4)-14.7%
LLME Score: 0.21947
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

KoSoLAR 10.7B V0.2 1.4 Dedup Parameters and Internals

LLM NameKoSoLAR 10.7B V0.2 1.4 Dedup
Repository 🤗https://huggingface.co/jingyeom/KoSoLAR-10.7B-v0.2_1.4_dedup 
Base Model(s)  jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p   jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p
Model Size10.7b
Required VRAM21.6 GB
Updated2024-09-07
Maintainerjingyeom
Model Typellama
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   5.0 GB: 3-of-5   4.9 GB: 4-of-5   1.9 GB: 5-of-5
Quantization Type32bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size40960
Torch Data Typefloat16
KoSoLAR 10.7B V0.2 1.4 Dedup (jingyeom/KoSoLAR-10.7B-v0.2_1.4_dedup)

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Note: green Score (e.g. "73.2") means that the model is better than jingyeom/KoSoLAR-10.7B-v0.2_1.4_dedup.

Rank the KoSoLAR 10.7B V0.2 1.4 Dedup Capabilities

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Release v2024072803
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