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Qwen2.5 14B Merge by mergekit-community

 »  All LLMs  »  mergekit-community  »  Qwen2.5 14B Merge   URL Share it on

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:arcee-ai/supernova-... Base model:arcee-ai/virtuoso-s... Base model:huihui-ai/qwen2.5-1...   Base model:qwen/qwen2.5-14b Base model:rombodawg/rombos-ll... Base model:vagosolutions/sauer...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mergekit-community/Qwen2.5-14B-Merge 

Qwen2.5 14B Merge Benchmarks

LLME Score: 0.22391
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 Merge (mergekit-community/Qwen2.5-14B-Merge)

Qwen2.5 14B Merge Parameters and Internals

LLM NameQwen2.5 14B Merge
Repository 🤗https://huggingface.co/mergekit-community/Qwen2.5-14B-Merge 
Base Model(s)  SauerkrautLM V2 14B SFT   rombodawg/Rombos-LLM-V2.6-Qwen-14b   Qwen/Qwen2.5-14B   huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2   SuperNova Medius   Virtuoso Small   VAGOsolutions/SauerkrautLM-v2-14b-SFT   rombodawg/Rombos-LLM-V2.6-Qwen-14b   Qwen/Qwen2.5-14B   huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2   arcee-ai/SuperNova-Medius   arcee-ai/Virtuoso-Small
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-05-15
Maintainermergekit-community
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 Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 14B Merge

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Context / RAM
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Qwen2.5 14B Instruct 1M986K / 29.6 GB162428306
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB86425
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB1466
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB1988
Impish QWEN 14B 1M986K / 29.7 GB22816
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
Qwen2.5 14B YOYO V4986K / 29.7 GB114
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB264
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB161
Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/Qwen2.5-14B-Merge.

Rank the Qwen2.5 14B Merge Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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