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Rombos LLM V2.5 Qwen 7B by rombodawg

 »  All LLMs  »  rombodawg  »  Rombos LLM V2.5 Qwen 7B   URL Share it on

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  Merged Model   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-7b 

Rombos LLM V2.5 Qwen 7B Benchmarks

MMLU Pro: 38.54
GPQA: 9.06
MUSR: 12
BBH: 36.37
IFEval: 62.37 vs 88 (so35)-29.1%
MATH Lvl 5: 38.14
LLME Score: 0.28906
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rombos LLM V2.5 Qwen 7B (rombodawg/Rombos-LLM-V2.5-Qwen-7b)
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Rombos LLM V2.5 Qwen 7B Parameters and Internals

LLM NameRombos LLM V2.5 Qwen 7B
Repository 🤗https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-7b 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-07-29
Maintainerrombodawg
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than rombodawg/Rombos-LLM-V2.5-Qwen-7b.

Rank the Rombos LLM V2.5 Qwen 7B 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  
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Multi-Language Support and Translation  

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Release v20241124
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