Mergefodder2 by jeiku

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  Merged Model   Autotrain compatible   Base model:jeiku/nuggiespoe   Base model:jeiku/zenithquantum   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/jeiku/mergefodder2 

Mergefodder2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergefodder2 (jeiku/mergefodder2)

Mergefodder2 Parameters and Internals

Additional Notes 
This is a merge of two pre-trained language models using the blend methodology from mergekit.
LLM NameMergefodder2
Repository ๐Ÿค—https://huggingface.co/jeiku/mergefodder2 
Base Model(s)  Nuggiespoe   Zenithquantum   jeiku/nuggiespoe   jeiku/zenithquantum
Merged ModelYes
Model Size4.5b
Required VRAM9.1 GB
Updated2025-02-22
Maintainerjeiku
Model Typellama
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Mergefodder2

Best Alternatives
Context / RAM
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Mergefodder1128K / 9.1 GB60
Note: green Score (e.g. "73.2") means that the model is better than jeiku/mergefodder2.

Rank the Mergefodder2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227