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Mergekit Passthrough Rqhssas by mergekit-community

 »  All LLMs  »  mergekit-community  »  Mergekit Passthrough Rqhssas   URL Share it on

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  Merged Model   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-passthrough-rqhssas 

Mergekit Passthrough Rqhssas Benchmarks

LLME Score: 0.25747
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Passthrough Rqhssas (mergekit-community/mergekit-passthrough-rqhssas)

Mergekit Passthrough Rqhssas Parameters and Internals

LLM NameMergekit Passthrough Rqhssas
Repository 🤗https://huggingface.co/mergekit-community/mergekit-passthrough-rqhssas 
Base Model(s)  Mergekit Passthrough Gujurtn   mergekit-community/mergekit-passthrough-gujurtn
Merged ModelYes
Model Size22.1b
Required VRAM44.2 GB
Updated2025-04-30
Maintainermergekit-community
Model Typemistral
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   4.9 GB: 8-of-9   4.9 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Mergekit Passthrough Rqhssas

Best Alternatives
Context / RAM
Downloads
Likes
Mergekit Slerp Eknjjvm1000K / 44.1 GB280
Mergekit Slerp Znbfpqv1000K / 44.1 GB190
Mergekit Passthrough Btkhcer1000K / 44.2 GB260
Mergekit Slerp Pjjpegi1000K / 44.1 GB160
Mergekit Slerp Ziotvxz1000K / 44.1 GB150
Mergekit Slerp Jhicokf1000K / 44.1 GB190
Mergekit Slerp Tuccilc1000K / 44.1 GB170
Mergekit Slerp Ropkjrp1000K / 44.1 GB190
Mergekit Slerp Mjfukvb128K / 44.1 GB180
Mergekit Slerp Qregpbv128K / 44.1 GB110
Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-passthrough-rqhssas.

Rank the Mergekit Passthrough Rqhssas 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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