Mergekit Slerp Eundxnq 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:meta-llama/meta-lla... Base model:meta-llama/meta-lla... Base model:quantized:mergekit-...   Conversational   Endpoints compatible   Gguf   Llama   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors

Mergekit Slerp Eundxnq GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mergekit Slerp Eundxnq GGUF Parameters and Internals

LLM NameMergekit Slerp Eundxnq GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/mergekit-slerp-eundxnq-GGUF 
Model Namemergekit-slerp-eundxnq-GGUF
Model Creatormergekit-community
Base Model(s)  mergekit-community/mergekit-slerp-eundxnq   mergekit-community/mergekit-slerp-eundxnq
Model Size8b
Required VRAM3.2 GB
Updated2024-10-18
MaintainerMaziyarPanahi
Model Typemistral
Model Files  3.2 GB   4.3 GB   4.0 GB   3.7 GB   4.9 GB   4.7 GB   5.7 GB   5.6 GB   6.6 GB   8.5 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Mergekit Slerp Eundxnq GGUF (MaziyarPanahi/mergekit-slerp-eundxnq-GGUF)

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GOAT Coder Llama3.1 8B0K / 16.1 GB5632
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...ma 3 8B Instruct 32K V0.1 GGUF0K / 2 GB221956
Llama 3.1 8B African Aya0K / 0.2 GB3353
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Llama 3 8B Instruct V0.9 GGUF0K / 2 GB10932
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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/mergekit-slerp-eundxnq-GGUF.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803