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Mergekit Slerp Npojgos GGUF by MaziyarPanahi

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  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:mergekit-community/... Base model:nousresearch/hermes... Base model:quantized:mergekit-... Base model:wizardlm/wizardmath...   Conversational   Endpoints compatible   Gguf   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/mergekit-slerp-npojgos-GGUF 

Mergekit Slerp Npojgos GGUF Benchmarks

LLME Score: 0.17547
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mergekit Slerp Npojgos GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
GGUF is a new format introduced on August 21st 2023, replacing GGML. Supported by various clients like llama.cpp, llama-cpp-python, LM Studio, text-generation-webui, and others.
LLM NameMergekit Slerp Npojgos GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/mergekit-slerp-npojgos-GGUF 
Model Namemergekit-slerp-npojgos-GGUF
Model Creatormergekit-community
Base Model(s)  mergekit-community/mergekit-slerp-npojgos   mergekit-community/mergekit-slerp-npojgos
Model Size7b
Required VRAM2.7 GB
Updated2025-06-09
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
Mergekit Slerp Npojgos GGUF (MaziyarPanahi/mergekit-slerp-npojgos-GGUF)

Best Alternatives to Mergekit Slerp Npojgos GGUF

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Context / RAM
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Pixel8K / 4.4 GB170
Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB28165399
Qwen2 7B Instruct GGUF0K / 1.9 GB22090911
WizardLM 2 7B GGUF0K / 2.7 GB21464180
Conversely Mistral 7B0K / 0.2 GB470
Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB286959579
CleverBoi 7B V20K / 0.1 GB620
...hemeng Qwen Math 7b 24 1 100 10K / 15.2 GB210
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB51599439
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/mergekit-slerp-npojgos-GGUF.

Rank the Mergekit Slerp Npojgos GGUF Capabilities

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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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Release v20241124
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