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Mergekit Slerp Fecxcxs GGUF by MaziyarPanahi

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Mergekit Slerp Fecxcxs GGUF is an open-source language model by MaziyarPanahi. Features: 34b LLM, VRAM: 8.4GB, Quantized, LLM Explorer Score: 0.14.

  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:budecosystem/code-m... Base model:mergekit-community/... Base model:oobabooga/codebooga... Base model:quantized:mergekit-...   Endpoints compatible   Gguf   Llama   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/mergekit-slerp-fecxcxs-GGUF 

Mergekit Slerp Fecxcxs GGUF Benchmarks

LLME Score: 0.13789
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Slerp Fecxcxs GGUF (MaziyarPanahi/mergekit-slerp-fecxcxs-GGUF)
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Mergekit Slerp Fecxcxs GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model files are in GGUF format, which is 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 NameMergekit Slerp Fecxcxs GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/mergekit-slerp-fecxcxs-GGUF 
Model Namemergekit-slerp-fecxcxs-GGUF
Model Creatormergekit-community
Base Model(s)  mergekit-community/mergekit-slerp-fecxcxs   mergekit-community/mergekit-slerp-fecxcxs
Model Size34b
Required VRAM8.4 GB
Updated2026-04-08
MaintainerMaziyarPanahi
Model Typemistral
Model Files  8.4 GB   12.0 GB   11.0 GB   9.8 GB   13.6 GB   12.9 GB   16.0 GB   15.6 GB   18.6 GB   24.1 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/mergekit-slerp-fecxcxs-GGUF.

Rank the Mergekit Slerp Fecxcxs 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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