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Zephyr 7B Beta Marlin by RedHatAI

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Zephyr 7B Beta Marlin is an open-source language model by RedHatAI. Features: 7b LLM, VRAM: 4.1GB, Context: 32K, Quantized, LLM Explorer Score: 0.24, ELO: 1053, Arc: 62, HellaSwag: 84.5, MMLU: 61.1, GSM8K: 11.4.

  Arxiv:2210.17323   4-bit Base model:huggingfaceh4/zephy... Base model:quantized:huggingfa...   Conversational   Endpoints compatible   Gptq   Int4   Marlin   Mistral   Nm-vllm   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/RedHatAI/zephyr-7b-beta-marlin 

Zephyr 7B Beta Marlin Benchmarks

LMSys ELO: 1053 vs 1272 (so35)-17.2%
ARC: 62.03 vs 96.7 (so35)-35.9%
HellaSwag: 84.53 vs 95.3 (gpt4)-11.3%
MMLU: 61.06 vs 88.3 (so35)-30.8%
GSM8K: 11.37 vs 96.4 (so35)-88.2%
LLME Score: 0.23752
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr 7B Beta Marlin (RedHatAI/zephyr-7b-beta-marlin)
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Zephyr 7B Beta Marlin Parameters and Internals

LLM NameZephyr 7B Beta Marlin
Repository 🤗https://huggingface.co/RedHatAI/zephyr-7b-beta-marlin 
Base Model(s)  Zephyr 7B Beta   HuggingFaceH4/zephyr-7b-beta
Model Size7b
Required VRAM4.1 GB
Updated2026-07-02
MaintainerRedHatAI
Model Typemistral
Model Files  4.1 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/zephyr-7b-beta-marlin.

Rank the Zephyr 7B Beta Marlin 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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