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Mergekit Model Stock Wgpchvm by wanlige

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:goekdeniz-guelmez/j... Base model:rombodawg/rombos-ll... Base model:suayptalha/lamarckv... Base model:tanliboy/lambda-qwe...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/wanlige/mergekit-model_stock-wgpchvm 

Mergekit Model Stock Wgpchvm Benchmarks

LLME Score: 0.22853
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Model Stock Wgpchvm (wanlige/mergekit-model_stock-wgpchvm)
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Mergekit Model Stock Wgpchvm Parameters and Internals

LLM NameMergekit Model Stock Wgpchvm
Repository 🤗https://huggingface.co/wanlige/mergekit-model_stock-wgpchvm 
Base Model(s)  tanliboy/lambda-qwen2.5-14b-dpo-test   Mergekit Model Stock Ggfjmyf   Lamarckvergence 14B   rombodawg/Rombos-LLM-V2.6-Qwen-14b   Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4   tanliboy/lambda-qwen2.5-14b-dpo-test   wanlige/mergekit-model_stock-ggfjmyf   suayptalha/Lamarckvergence-14B   rombodawg/Rombos-LLM-V2.6-Qwen-14b   Goekdeniz-Guelmez/Josiefied-Qwen2.5-14B-Instruct-abliterated-v4
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-02-23
Maintainerwanlige
Model Typeqwen2
Instruction-BasedYes
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 Length1010000
Model Max Length1010000
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Mergekit Model Stock Wgpchvm

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ZYH LLM Qwen2.5 14B V3986K / 29.7 GB488
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...14B Instruct 1M GRPO Reasoning986K / 29.7 GB344
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB161
Note: green Score (e.g. "73.2") means that the model is better than wanlige/mergekit-model_stock-wgpchvm.

Rank the Mergekit Model Stock Wgpchvm 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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Release v20241124
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