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KoSoLAR 10.7B V0.2 1.4 Dedup 1 by jingyeom

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  32bit   Autotrain compatible   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/jingyeom/KoSoLAR-10.7B-v0.2_1.4_dedup_1 

KoSoLAR 10.7B V0.2 1.4 Dedup 1 Benchmarks

ARC: 63.05 vs 96.7 (so35)-34.8%
HellaSwag: 83.63 vs 95.3 (gpt4)-12.2%
MMLU: 64.61 vs 88.3 (so35)-26.8%
TruthfulQA: 52.69 vs 59 (gpt4)-10.7%
WinoGrande: 80.51 vs 87.5 (gpt4)-8%
GSM8K: 48.07 vs 96.4 (so35)-50.1%
LLME Score: 0.14652
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 1 (jingyeom/KoSoLAR-10.7B-v0.2_1.4_dedup_1)
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KoSoLAR 10.7B V0.2 1.4 Dedup 1 Parameters and Internals

Additional Notes 
Training objective was instruction tuning with version 1.4.
Training Details 
Data Sources:
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Methodology:
Deduplicating Training Data Makes Language Models Better
LLM NameKoSoLAR 10.7B V0.2 1.4 Dedup 1
Repository ๐Ÿค—https://huggingface.co/jingyeom/KoSoLAR-10.7B-v0.2_1.4_dedup_1 
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
Updated2025-10-03
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

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Rank the KoSoLAR 10.7B V0.2 1.4 Dedup 1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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