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EVA Instruct 32B EXL2 4.0 by ParasiticRogue

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EVA Instruct 32B EXL2 4.0 is an open-source language model by ParasiticRogue. Features: 32b LLM, VRAM: 17.7GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.16.

  Merged Model   4-bit   Autotrain compatible Base model:eva-unit-01/eva-qwe... Base model:qwen/qwen2.5-32b-in...   Chat   Conversational   En   Endpoints compatible   Exl2   Instruct   Not-for-all-audiences   Quantized   Qwen2   Region:us   Roleplay   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ParasiticRogue/EVA-Instruct-32B-exl2-4.0 

EVA Instruct 32B EXL2 4.0 Benchmarks

LLME Score: 0.16035
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EVA Instruct 32B EXL2 4.0 (ParasiticRogue/EVA-Instruct-32B-exl2-4.0)
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EVA Instruct 32B EXL2 4.0 Parameters and Internals

LLM NameEVA Instruct 32B EXL2 4.0
Repository 🤗https://huggingface.co/ParasiticRogue/EVA-Instruct-32B-exl2-4.0 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   EVA-UNIT-01/EVA-Qwen2.5-32B-v0.0   Qwen/Qwen2.5-32B-Instruct   EVA-UNIT-01/EVA-Qwen2.5-32B-v0.0
Merged ModelYes
Model Size32b
Required VRAM17.7 GB
Updated2025-09-23
MaintainerParasiticRogue
Model Typeqwen2
Instruction-BasedYes
Model Files  4.2 GB: 1-of-5   4.3 GB: 2-of-5   4.2 GB: 3-of-5   4.2 GB: 4-of-5   0.8 GB: 5-of-5
Supported Languagesen
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...truct Gptqmodel 4bit Vortex V132K / 21.3 GB5816
Qwen2.5 32B Instruct 8bit32K / 34.9 GB1636
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB82
Note: green Score (e.g. "73.2") means that the model is better than ParasiticRogue/EVA-Instruct-32B-exl2-4.0.

Rank the EVA Instruct 32B EXL2 4.0 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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