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Llama3 12B Wwe GGUF by MaziyarPanahi

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Llama3 12B Wwe GGUF is an open-source language model by MaziyarPanahi. Features: 12b LLM, VRAM: 5.3GB, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:hfl/llama-3-chinese... Base model:mergekit-community/... Base model:nousresearch/hermes... Base model:quantized:mergekit-... Base model:shenzhi-wang/llama3...   Conversational   Endpoints compatible   Gguf   Instruct   Llama   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Llama3-12B-wwe-GGUF 

Llama3 12B Wwe GGUF Benchmarks

LLME Score: 0.13798
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 12B Wwe GGUF (MaziyarPanahi/Llama3-12B-wwe-GGUF)
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Llama3 12B Wwe GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model uses the GGUF format, which is a new format introduced by the llama.cpp team on August 21st 2023. GGUF replaces GGML and offers compatibility with various clients and libraries supporting GPU acceleration and UI customization.
LLM NameLlama3 12B Wwe GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/Llama3-12B-wwe-GGUF 
Model NameLlama3-12B-wwe-GGUF
Model Creatormergekit-community
Base Model(s)  mergekit-community/Llama3-12B-wwe   mergekit-community/Llama3-12B-wwe
Model Size12b
Required VRAM5.3 GB
Updated2026-05-10
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  5.3 GB   7.3 GB   6.7 GB   6.1 GB   8.3 GB   7.9 GB   9.7 GB   9.5 GB   11.2 GB   14.6 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

Best Alternatives to Llama3 12B Wwe GGUF

Best Alternatives
Context / RAM
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Calme 12B Instruct V0.1 GGUF0K / 4.7 GB3812
...tral Nemo 12B Abliterated LORA0K / 0.5 GB04
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Llama3-12B-wwe-GGUF.

Rank the Llama3 12B Wwe 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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