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Zephyr 7B Alpha GGUF by MaziyarPanahi

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Zephyr 7B Alpha GGUF is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 2.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

  Arxiv:2305.18290   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:huggingfaceh4/zephy... Base model:mistralai/mistral-7... Base model:quantized:huggingfa...   Conversational   Dataset:openbmb/ultrafeedback   Dataset:stingning/ultrachat   En   Endpoints compatible   Generated from trainer   Gguf   Has space   Mistral   Pytorch   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/zephyr-7b-alpha-GGUF 

Zephyr 7B Alpha GGUF Benchmarks

LLME Score: 0.11814
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr 7B Alpha GGUF (MaziyarPanahi/zephyr-7b-alpha-GGUF)
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Zephyr 7B Alpha GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is available in GGUF format which replaces the previously unsupported GGML format and is suitable for use with llama.cpp as well as other supported libraries and clients.
LLM NameZephyr 7B Alpha GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/zephyr-7b-alpha-GGUF 
Model Namezephyr-7b-alpha-GGUF
Model CreatorHuggingFaceH4
Base Model(s)  Zephyr 7B Alpha   HuggingFaceH4/zephyr-7b-alpha
Model Size7b
Required VRAM2.7 GB
Updated2026-04-03
MaintainerMaziyarPanahi
Model Typemistral
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB111364136
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CleverBoi 7B V20K / 0.1 GB1270
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB77323499
...hemeng Qwen Math 7b 24 1 100 10K / 15.2 GB220
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/zephyr-7b-alpha-GGUF.

Rank the Zephyr 7B Alpha GGUF 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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