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RareBit V2 32B by ParasiticRogue

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RareBit V2 32B is an open-source language model by ParasiticRogue. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.19.

  Merged Model Base model:arcee-ai/virtuoso-m... Base model:arliai/qwq-32b-arli... Base model:eva-unit-01/eva-qwe...   Base model:qwen/qwq-32b Base model:trashpanda-org/qwq-...   Chat   Conversational   En   Endpoints compatible   Qwen2   Region:us   Roleplay   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ParasiticRogue/RareBit-v2-32B 

RareBit V2 32B Benchmarks

LLME Score: 0.19187
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RareBit V2 32B (ParasiticRogue/RareBit-v2-32B)
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RareBit V2 32B Parameters and Internals

LLM NameRareBit V2 32B
Repository 🤗https://huggingface.co/ParasiticRogue/RareBit-v2-32B 
Base Model(s)  QwQ 32B   EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2   Virtuoso Medium V2   QwQ 32B ArliAI RpR V4   QwQ 32B Snowdrop V0   Qwen/QwQ-32B   EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2   arcee-ai/Virtuoso-Medium-v2   ArliAI/QwQ-32B-ArliAI-RpR-v4   trashpanda-org/QwQ-32B-Snowdrop-v0
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2026-05-22
MaintainerParasiticRogue
Model Typeqwen2
Model Files  5.0 GB: 1-of-14   4.9 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
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typebfloat16
Errorsreplace

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Ultiima 32B128K / 65.8 GB187
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB344
Note: green Score (e.g. "73.2") means that the model is better than ParasiticRogue/RareBit-v2-32B.

Rank the RareBit V2 32B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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