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Mergekit Slerp Gmjabaw 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-gmjabaw-GGUF 

Mergekit Slerp Gmjabaw GGUF Benchmarks

LLME Score: 0.17592
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 Gmjabaw GGUF Parameters and Internals

Model Type 
text-generation, conversational
Additional Notes 
Model contains GGUF format model files, which is a new format introduced by the llama.cpp team on August 21st 2023. It replaces GGML.
LLM NameMergekit Slerp Gmjabaw GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/mergekit-slerp-gmjabaw-GGUF 
Model Namemergekit-slerp-gmjabaw-GGUF
Model Creatormergekit-community
Base Model(s)  mergekit-community/mergekit-slerp-gmjabaw   mergekit-community/mergekit-slerp-gmjabaw
Model Size7b
Required VRAM2.7 GB
Updated2025-06-10
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 Gmjabaw GGUF (MaziyarPanahi/mergekit-slerp-gmjabaw-GGUF)

Best Alternatives to Mergekit Slerp Gmjabaw GGUF

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Context / RAM
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Pixel8K / 4.4 GB170
Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB27529599
Qwen2 7B Instruct GGUF0K / 1.9 GB21501011
WizardLM 2 7B GGUF0K / 2.7 GB20853980
Conversely Mistral 7B0K / 0.2 GB500
Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB277398579
CleverBoi 7B V20K / 0.1 GB700
...hemeng Qwen Math 7b 24 1 100 10K / 15.2 GB230
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB51177439
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/mergekit-slerp-gmjabaw-GGUF.

Rank the Mergekit Slerp Gmjabaw 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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