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Mergekit Slerp Oskyrzi 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:quantized:mergekit-... Base model:sao10k/fimbulvetr-1... Base model:thedrummer/moistral...   Endpoints compatible   Gguf   Llama   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/mergekit-slerp-oskyrzi-GGUF 

Mergekit Slerp Oskyrzi GGUF Benchmarks

LLME Score: 0.19352
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Slerp Oskyrzi GGUF (MaziyarPanahi/mergekit-slerp-oskyrzi-GGUF)

Mergekit Slerp Oskyrzi GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is quantized by Maziyar Panahi and available in GGUF format. GGUF is the successor to GGML and supports various clients and libraries for enhanced inference capabilities with features like GPU acceleration. The GGUF format was introduced by the llama.cpp team.
LLM NameMergekit Slerp Oskyrzi GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/mergekit-slerp-oskyrzi-GGUF 
Model Namemergekit-slerp-oskyrzi-GGUF
Model Creatormergekit-community
Base Model(s)  mergekit-community/mergekit-slerp-oskyrzi   mergekit-community/mergekit-slerp-oskyrzi
Model Size11b
Required VRAM2.7 GB
Updated2025-02-22
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

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Llama 3 11B Instruct V0.1 GGUF0K / 4.5 GB6147
YorkShire11 GGUF0K / 2.7 GB340
Synaptica GGUF0K / 4 GB50
Fimburs11V3 GGUF0K / 4 GB60
Hermes 2 Pro 11B GGUF0K / 4.2 GB1644
...al 7B Instruct V0.2 Slerp GGUF0K / 2.7 GB1122
... Mistral 7B Instruct V0.1 GGUF0K / 2.7 GB561
Velara 11B V2 GGUF0K / 4.8 GB2017
...al 7B Instruct V0.2 Slerp GGUF0K / 2.7 GB780
...al 7B Instruct V0.2 Slerp GGUF0K / 2.7 GB941
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/mergekit-slerp-oskyrzi-GGUF.

Rank the Mergekit Slerp Oskyrzi 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 v20241227
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