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Multimaster 7B V6 by ibivibiv

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Multimaster 7B V6 is an open-source language model by ibivibiv. Features: 7b LLM, VRAM: 142.5GB, Context: 32K, License: apache-2.0, HF Score: 75.7, LLM Explorer Score: 0.22, Arc: 72.8, HellaSwag: 88.8, MMLU: 64.7, TruthfulQA: 70.9, WinoGrande: 86.4, GSM8K: 70.4.

  Arxiv:1803.05457   Arxiv:1905.07830   Arxiv:1907.10641   Arxiv:2009.03300   Arxiv:2109.07958   Arxiv:2110.14168   En   Endpoints compatible   Mixtral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ibivibiv/multimaster-7b-v6 

Multimaster 7B V6 Benchmarks

MMLU Pro: 23.28
GPQA: 7.16
MUSR: 13.38
BBH: 32.4
IFEval: 44.73 vs 88 (so35)-49.2%
ARC: 72.78 vs 96.7 (so35)-24.7%
HellaSwag: 88.77 vs 95.3 (gpt4)-6.9%
MMLU: 64.74 vs 88.3 (so35)-26.7%
TruthfulQA: 70.89 vs 59 (gpt4)20.2%
WinoGrande: 86.42 vs 87.5 (gpt4)-1.2%
GSM8K: 70.36 vs 96.4 (so35)-27%
MATH Lvl 5: 5.59
LLME Score: 0.22268
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Multimaster 7B V6 (ibivibiv/multimaster-7b-v6)
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Multimaster 7B V6 Parameters and Internals

Model Type 
multimodal
Use Cases 
Considerations:
This model is a focus on multi-disciplinary model tuning
Additional Notes 
multimaster-7b is a lora tuned version with the adapter merged back into the main model
Supported Languages 
English (Primary)
Input Output 
Input Format:
alpaca style
Accepted Modalities:
text
LLM NameMultimaster 7B V6
Repository 🤗https://huggingface.co/ibivibiv/multimaster-7b-v6 
Model Size7b
Required VRAM142.5 GB
Updated2026-03-29
Maintaineribivibiv
Model Typemixtral
Model Files  5.0 GB: 1-of-29   5.0 GB: 2-of-29   4.9 GB: 3-of-29   4.9 GB: 4-of-29   4.9 GB: 5-of-29   4.9 GB: 6-of-29   4.9 GB: 7-of-29   4.9 GB: 8-of-29   4.9 GB: 9-of-29   5.0 GB: 10-of-29   4.9 GB: 11-of-29   4.9 GB: 12-of-29   4.9 GB: 13-of-29   4.9 GB: 14-of-29   4.9 GB: 15-of-29   4.9 GB: 16-of-29   4.9 GB: 17-of-29   4.9 GB: 18-of-29   5.0 GB: 19-of-29   4.9 GB: 20-of-29   4.9 GB: 21-of-29   4.9 GB: 22-of-29   4.9 GB: 23-of-29   4.9 GB: 24-of-29   4.9 GB: 25-of-29   4.9 GB: 26-of-29   4.9 GB: 27-of-29   5.0 GB: 28-of-29   4.8 GB: 29-of-29
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat32

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Rank the Multimaster 7B V6 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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