Freeze KoSoLAR 10.7B V0.2 1.4 Dedup by jingyeom

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Freeze KoSoLAR 10.7B V0.2 1.4 Dedup is an open-source language model by jingyeom. Features: 10.7b LLM, VRAM: 43.2GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13, Arc: 58.5, HellaSwag: 81.3, MMLU: 64.8, GSM8K: 32.2.

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

Freeze KoSoLAR 10.7B V0.2 1.4 Dedup Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Freeze KoSoLAR 10.7B V0.2 1.4 Dedup Parameters and Internals

Model Type 
causal LM
Training Details 
Data Sources:
공개 데이터 수집
Methodology:
instruction Tuning using Deduplicating Training Data Makes Language Models Better algorithm
Model Architecture:
freeze
LLM NameFreeze KoSoLAR 10.7B V0.2 1.4 Dedup
Repository 🤗https://huggingface.co/jingyeom/freeze_KoSoLAR-10.7B-v0.2_1.4_dedup 
Model Size10.7b
Required VRAM43.2 GB
Updated2026-05-08
Maintainerjingyeom
Model Typellama
Model Files  4.8 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.8 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.8 GB: 7-of-9   5.0 GB: 8-of-9   3.8 GB: 9-of-9
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 Typefloat32

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

Rank the Freeze KoSoLAR 10.7B V0.2 1.4 Dedup 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a