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Bruphin Gamma by nbeerbower

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Bruphin Gamma is an open-source language model by nbeerbower. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.11.

  Merged Model Base model:jan-hq/supermario-v... Base model:nbeerbower/bruphin-...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/bruphin-gamma 

Bruphin Gamma Benchmarks

LLME Score: 0.11493
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bruphin Gamma (nbeerbower/bruphin-gamma)
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Bruphin Gamma Parameters and Internals

Additional Notes 
This model is a merge of pre-trained language models created using mergekit. ### Merge Details ### Merge Method: The model was merged using the SLERP merge method. ### Models Merged: The models included in the merge are nbeerbower/bruphin-beta and jan-hq/supermario-v2. ### Configuration: The model was configured using a YAML with specific parameters for layer ranges and merge filters.
LLM NameBruphin Gamma
Repository 🤗https://huggingface.co/nbeerbower/bruphin-gamma 
Base Model(s)  nbeerbower/bruphin-beta   Supermario V2   nbeerbower/bruphin-beta   jan-hq/supermario-v2
Merged ModelYes
Model Size7.2b
Required VRAM14.4 GB
Updated2026-04-20
Maintainernbeerbower
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/bruphin-gamma.

Rank the Bruphin Gamma Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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