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Zephyr 7B Q4 K M by ekshat

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Zephyr 7B Q4 K M is an open-source language model by ekshat. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.14.

  Merged Model   Conversational   En   Endpoints compatible   Gguf   Mistral   Pytorch   Q4   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/ekshat/zephyr_7b_q4_k_m 

Zephyr 7b Q4 K M Benchmarks

LLME Score: 0.14099
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr 7B Q4 K M (ekshat/zephyr_7b_q4_k_m)
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Zephyr 7B Q4 K M Parameters and Internals

Model Type 
text generation, question answering, summarization, translation
Supported Languages 
en (primary)
LLM NameZephyr 7b Q4 K M
Repository 🤗https://huggingface.co/ekshat/zephyr_7b_q4_k_m 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-02-21
Maintainerekshat
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   14.5 GB   4.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
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 ekshat/zephyr_7b_q4_k_m.

Rank the Zephyr 7B Q4 K M Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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