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Qevacot 7B V2 by bunnycore

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Qevacot 7B V2 is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.16.

  Merged Model   Arxiv:2306.01708   Base model:cran-may/t.e-8.1 Base model:eva-unit-01/eva-qwe... Base model:huihui-ai/qwen2.5-7...   Base model:qwen/qwen2.5-7b   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Qevacot-7B-v2 

Qevacot 7B V2 Benchmarks

LLME Score: 0.1554
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qevacot 7B V2 (bunnycore/Qevacot-7B-v2)
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Qevacot 7B V2 Parameters and Internals

LLM NameQevacot 7B V2
Repository 🤗https://huggingface.co/bunnycore/Qevacot-7B-v2 
Base Model(s)  c10x/CoT-2.5   Qwen/Qwen2.5-7B   EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2   Cran-May/T.E-8.1   c10x/CoT-2.5   Qwen/Qwen2.5-7B   EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2   Cran-May/T.E-8.1
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2026-05-10
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 Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qevacot 7B V2

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Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB32350369
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
Qwen2.5 7B RRP 1M986K / 15.2 GB266
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB297
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB56
COCO 7B Instruct 1M986K / 15.2 GB154
Apollo 7B986K / 15.2 GB60
Graph R1 7B986K / 15.3 GB43
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB140
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qevacot-7B-v2.

Rank the Qevacot 7B V2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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