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Mergekit Slerp Jgwqzez 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-jgwqzez-GGUF 

Mergekit Slerp Jgwqzez GGUF Benchmarks

LLME Score: 0.1773
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Slerp Jgwqzez GGUF (MaziyarPanahi/mergekit-slerp-jgwqzez-GGUF)

Mergekit Slerp Jgwqzez GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
The GGUF format was introduced by llama.cpp on August 21st, 2023, as a replacement for GGML. Several clients and libraries are known to support GGUF, including llama.cpp, llama-cpp-python, LM Studio, text-generation-webui, KoboldCpp, GPT4All, LoLLMS Web UI, Faraday.dev, candle, and ctransformers.
LLM NameMergekit Slerp Jgwqzez GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/mergekit-slerp-jgwqzez-GGUF 
Model Namemergekit-slerp-jgwqzez-GGUF
Model Creatormergekit-community
Base Model(s)  mergekit-community/mergekit-slerp-jgwqzez   mergekit-community/mergekit-slerp-jgwqzez
Model Size7b
Required VRAM2.7 GB
Updated2025-06-01
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

Best Alternatives to Mergekit Slerp Jgwqzez GGUF

Best Alternatives
Context / RAM
Downloads
Likes
Pixel8K / 4.4 GB170
Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB29833199
Qwen2 7B Instruct GGUF0K / 1.9 GB23336811
WizardLM 2 7B GGUF0K / 2.7 GB23273980
Conversely Mistral 7B0K / 0.2 GB270
Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB316970573
CleverBoi 7B V20K / 0.1 GB440
...hemeng Qwen Math 7b 24 1 100 10K / 15.2 GB110
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Mistral 7B Instruct V0.3 GGUF0K / 2.7 GB222349
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/mergekit-slerp-jgwqzez-GGUF.

Rank the Mergekit Slerp Jgwqzez 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  
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Release v20241227
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