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Synaptica GGUF by MaziyarPanahi

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  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:maywell/llama-3-syn... Base model:mergekit-community/... Base model:quantized:mergekit-... Base model:sao10k/fimbulvetr-1...   Conversational   Endpoints compatible   Gguf   Llama   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Synaptica-GGUF 

Synaptica GGUF Benchmarks

LLME Score: 0.16539
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Synaptica GGUF (MaziyarPanahi/Synaptica-GGUF)
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Synaptica GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model is compatible with GGUF format, a new format introduced by the llama.cpp team on August 21st 2023. GGUF is a replacement for GGML, which is no longer supported by llama.cpp.
LLM NameSynaptica GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/Synaptica-GGUF 
Model NameSynaptica-GGUF
Model Creatormergekit-community
Base Model(s)  Synaptica   mergekit-community/Synaptica
Model Size11b
Required VRAM4 GB
Updated2025-08-21
MaintainerMaziyarPanahi
Model Typemistral
Model Files  4.0 GB   5.7 GB   5.2 GB   4.7 GB   6.5 GB   6.1 GB   7.6 GB   7.4 GB   8.8 GB   11.4 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

Best Alternatives to Synaptica GGUF

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Mergekit Slerp Oskyrzi GGUF0K / 2.7 GB100
YorkShire11 GGUF0K / 2.7 GB70
Fimburs11V3 GGUF0K / 4 GB60
Llama 3 11B Instruct V0.1 GGUF0K / 4.5 GB2447
Hermes 2 Pro 11B GGUF0K / 4.2 GB334
... Mistral 7B Instruct V0.1 GGUF0K / 2.7 GB321
...al 7B Instruct V0.2 Slerp GGUF0K / 2.7 GB442
...al 7B Instruct V0.2 Slerp GGUF0K / 2.7 GB281
...al 7B Instruct V0.2 Slerp GGUF0K / 2.7 GB391
...al 7B Instruct V0.2 Slerp GGUF0K / 2.7 GB140
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Synaptica-GGUF.

Rank the Synaptica 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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