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Eval Model by inumulaisk

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Model Card on HF 🤗: https://huggingface.co/inumulaisk/eval_model 

Eval Model Benchmarks

MMLU Pro: 7.38
GPQA: 3.91
MUSR: 3.58
BBH: 9.51
IFEval: 19.31 vs 88 (so35)-78.1%
MATH Lvl 5: 29.76
LLME Score: 0.24407
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Eval Model (inumulaisk/eval_model)
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Eval Model Parameters and Internals

LLM NameEval Model
Repository 🤗https://huggingface.co/inumulaisk/eval_model 
Base Model(s)  unsloth/deepseek-r1-distill-qwen-1.5b-unsloth-bnb-4bit   unsloth/deepseek-r1-distill-qwen-1.5b-unsloth-bnb-4bit
Model Size1.5b
Required VRAM7.1 GB
Updated2025-09-23
Maintainerinumulaisk
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   2.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizerFast
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size151936
Torch Data Typefloat32

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...pSeek R1 Distill Qwen 1.5B 500128K / 1.7 GB50
Qwen2 1.5B SFT 16bit Alpha128K / 3.1 GB80
Deep Ft8 Grp 16bit128K / 3.5 GB50
Atlas Flash 1.5B Preview128K / 3.5 GB1062
Note: green Score (e.g. "73.2") means that the model is better than inumulaisk/eval_model.

Rank the Eval Model 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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