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Qwen2.5 7B RRP 1M by bunnycore

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Qwen2.5 7B RRP 1M is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Instruction-Based, Merged, LLM Explorer Score: 0.27.

  Merged Model Base model:bunnycore/qwen-2.5-... Base model:qwen/qwen2.5-7b-ins...   Conversational   Endpoints compatible   Instruct   Lora   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen2.5-7B-RRP-1M 

Qwen2.5 7B RRP 1M Benchmarks

MMLU Pro: 36.29
GPQA: 7.05
MUSR: 15.8
BBH: 35.65
IFEval: 74.81 vs 88 (so35)-15%
MATH Lvl 5: 32.48
LLME Score: 0.27289
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B RRP 1M (bunnycore/Qwen2.5-7B-RRP-1M)
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Qwen2.5 7B RRP 1M Parameters and Internals

LLM NameQwen2.5 7B RRP 1M
Repository 🤗https://huggingface.co/bunnycore/Qwen2.5-7B-RRP-1M 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct-1M   bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora   Qwen/Qwen2.5-7B-Instruct-1M   bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2026-04-22
Maintainerbunnycore
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
Context Length1010000
Model Max Length1010000
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 7B RRP 1M

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Context / RAM
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Qwen2.5 7B Instruct 1M986K / 15.4 GB60563368
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB192
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB107
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB76
COCO 7B Instruct 1M986K / 15.2 GB214
Apollo 7B986K / 15.2 GB60
Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB70
Qwen2.5 7B DeepSeek R1 1M986K / 15.2 GB263
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen2.5-7B-RRP-1M.

Rank the Qwen2.5 7B RRP 1M 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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