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Zephyr 7B Beta Marlin by neuralmagic

 »  All LLMs  »  neuralmagic  »  Zephyr 7B Beta Marlin   URL Share it on

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  Arxiv:2210.17323   4-bit   Autotrain compatible 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/neuralmagic/zephyr-7b-beta-marlin 

Zephyr 7B Beta Marlin Benchmarks

LLME Score: 0.19349
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 (neuralmagic/zephyr-7b-beta-marlin)

Zephyr 7B Beta Marlin Parameters and Internals

Model Type 
mistral
Additional Notes 
Model optimized for nm-vllm, and quantized using GPTQ for efficient 4-bit inference. Uses Marlin format for 4-bit model inference.
LLM NameZephyr 7B Beta Marlin
Repository 🤗https://huggingface.co/neuralmagic/zephyr-7b-beta-marlin 
Base Model(s)  Zephyr 7B Beta   HuggingFaceH4/zephyr-7b-beta
Model Size7b
Required VRAM4.1 GB
Updated2025-01-13
Maintainerneuralmagic
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 neuralmagic/zephyr-7b-beta-marlin.

Rank the Zephyr 7B Beta Marlin Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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