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QWQ Rombos Ties TEST2 by mergekit-community

 »  All LLMs  »  mergekit-community  »  QWQ Rombos Ties TEST2   URL Share it on

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  Merged Model   Autotrain compatible Base model:qwen/qwq-32b-previe... Base model:rombodawg/rombos-ll...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mergekit-community/QWQ-Rombos-ties-TEST2 

QWQ Rombos Ties TEST2 Benchmarks

LLME Score: 0.22593
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QWQ Rombos Ties TEST2 (mergekit-community/QWQ-Rombos-ties-TEST2)

QWQ Rombos Ties TEST2 Parameters and Internals

LLM NameQWQ Rombos Ties TEST2
Repository 🤗https://huggingface.co/mergekit-community/QWQ-Rombos-ties-TEST2 
Base Model(s)  rombodawg/Rombos-LLM-V2.5-Qwen-32b   QwQ 32B Preview   rombodawg/Rombos-LLM-V2.5-Qwen-32b   Qwen/QwQ-32B-Preview
Merged ModelYes
Model Size32b
Required VRAM65.8 GB
Updated2025-03-26
Maintainermergekit-community
Model Typeqwen2
Model Files  5.0 GB: 1-of-14   5.0 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   1.9 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to QWQ Rombos Ties TEST2

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Context / RAM
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Openbuddy Qwq 32B V24.1 200K195K / 65.8 GB513
Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB333
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB132
QwQ 32B128K / 65.8 GB5884782502
DeepSeek R1 Distill Qwen 32B128K / 65.7 GB18087441289
Qwen2.5 32B128K / 65.5 GB136898130
TinyR1 32B Preview128K / 65.6 GB7367322
RomboUltima 32B128K / 20.7 GB1733
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB17314
QwQ 32B Snowdrop V0128K / 65.7 GB372646
Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/QWQ-Rombos-ties-TEST2.

Rank the QWQ Rombos Ties TEST2 Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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