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TEST MODEL by jieunhan

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  2025   
  Autotrain compatible Base model:finetune:upstage/so... Base model:upstage/solar-10.7b...   Conversational   Endpoints compatible   Mixtral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jieunhan/TEST_MODEL 

TEST MODEL Benchmarks

LLME Score: 0.20596
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TEST MODEL (jieunhan/TEST_MODEL)

TEST MODEL Parameters and Internals

Training Details 
Methodology:
Direct Preference Optimization (DPO) through the use of Axolotl.
LLM NameTEST MODEL
Repository 🤗https://huggingface.co/jieunhan/TEST_MODEL 
Base Model(s)  yanolja/EEVE-Korean-10.8B-v1.0   upstage/SOLAR-10.7B-v1.0   yanolja/EEVE-Korean-10.8B-v1.0   upstage/SOLAR-10.7B-v1.0
Model Size10.8b
Required VRAM38.6 GB
Updated2025-02-22
Maintainerjieunhan
Model Typemixtral
Model Files  2.0 GB: 1-of-20   2.0 GB: 2-of-20   2.0 GB: 3-of-20   2.0 GB: 4-of-20   2.0 GB: 5-of-20   2.0 GB: 6-of-20   2.0 GB: 7-of-20   2.0 GB: 8-of-20   2.0 GB: 9-of-20   2.0 GB: 10-of-20   2.0 GB: 11-of-20   2.0 GB: 12-of-20   2.0 GB: 13-of-20   2.0 GB: 14-of-20   2.0 GB: 15-of-20   2.0 GB: 16-of-20   2.0 GB: 17-of-20   2.0 GB: 18-of-20   2.0 GB: 19-of-20   0.6 GB: 20-of-20
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size40960
Torch Data Typefloat16

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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