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Merge Model 20250308 3 by Cran-May

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Merge Model 20250308 3 is an open-source language model by Cran-May. Features: 14.8b LLM, VRAM: 29.7GB, Context: 32K, Merged, LLM Explorer Score: 0.28.

  Merged Model   Arxiv:2212.04089 Base model:cran-may/tempemotac... Base model:cran-may/tempemotac... Base model:cran-may/tempemotac...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Cran-May/merge_model_20250308_3 

Merge Model 20250308 3 Benchmarks

MMLU Pro: 44.02
GPQA: 9.62
MUSR: 13.54
BBH: 46.57
IFEval: 60.18 vs 88 (so35)-31.6%
MATH Lvl 5: 25.45
LLME Score: 0.27785
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merge Model 20250308 3 (Cran-May/merge_model_20250308_3)
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Merge Model 20250308 3 Parameters and Internals

LLM NameMerge Model 20250308 3
Repository 🤗https://huggingface.co/Cran-May/merge_model_20250308_3 
Base Model(s)  Cran-May/tempemotacilla-vipercoderv1.7vsm6-0308   ...motacilla Sombreroopussm1 0308   ...motacilla Sombreroopussm5 0308   Cran-May/tempemotacilla-vipercoderv1.7vsm6-0308   Cran-May/tempemotacilla-sombreroopussm1-0308   Cran-May/tempemotacilla-sombreroopussm5-0308
Merged ModelYes
Model Size14.8b
Required VRAM29.7 GB
Updated2026-04-20
MaintainerCran-May
Model Typeqwen2
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Merge Model 20250308 3

Best Alternatives
Context / RAM
Downloads
Likes
Viper Coder V1.7 Vsm6986K / 29.7 GB256
Cheng 2 Ingredient4986K / 29.7 GB60
...acilla Vipercoderv1.7vsm6 0308986K / 29.7 GB60
Temp Model For 2 Mini 006986K / 29.7 GB80
Tempmotacilla Cinerea 0308128K / 29.7 GB262
...irtuoso Small V2 Tensopolis V1128K / 29.7 GB101
Merge Model 20250308 2128K / 29.7 GB130
Tempesthenno Kto 0205 Ckpt80128K / 29.6 GB183
Viper Coder Hybrid V1.3128K / 29.7 GB269
Miisce One128K / 29.7 GB42
Note: green Score (e.g. "73.2") means that the model is better than Cran-May/merge_model_20250308_3.

Rank the Merge Model 20250308 3 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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