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Qwen2.5 14B Instruct Badllama Merged by cybershiptrooper

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Qwen2.5 14B Instruct Badllama Merged is an open-source language model by cybershiptrooper. Features: 14b LLM, VRAM: 59.1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.19.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cybershiptrooper/Qwen2.5-14B-Instruct-badllama-merged 

Qwen2.5 14B Instruct Badllama Merged Benchmarks

LLME Score: 0.19335
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 14B Instruct Badllama Merged (cybershiptrooper/Qwen2.5-14B-Instruct-badllama-merged)
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Qwen2.5 14B Instruct Badllama Merged Parameters and Internals

LLM NameQwen2.5 14B Instruct Badllama Merged
Repository 🤗https://huggingface.co/cybershiptrooper/Qwen2.5-14B-Instruct-badllama-merged 
Model Size14b
Required VRAM59.1 GB
Updated2026-04-24
Maintainercybershiptrooper
Model Typeqwen2
Instruction-BasedYes
Model Files  4.8 GB: 1-of-12   5.0 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   5.0 GB: 6-of-12   4.9 GB: 7-of-12   5.0 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   4.8 GB: 12-of-12
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

Best Alternatives to Qwen2.5 14B Instruct Badllama Merged

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Qwen2.5 14B Instruct 1M986K / 29.6 GB3385332
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB85228
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB218
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB1138
Qwen2.5 14B YOYO V4986K / 29.7 GB145
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB914
Impish QWEN 14B 1M986K / 29.7 GB3824
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB31
Note: green Score (e.g. "73.2") means that the model is better than cybershiptrooper/Qwen2.5-14B-Instruct-badllama-merged.

Rank the Qwen2.5 14B Instruct Badllama Merged 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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