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Sakaltum 7B by sakaltcommunity

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:rakuten/rakutenai-7... Base model:sakanaai/evollm-jp-...   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sakaltcommunity/sakaltum-7b 

Sakaltum 7B Benchmarks

MMLU Pro: 19.66
GPQA: 3.02
MUSR: 5.75
BBH: 23.75
IFEval: 26.04 vs 88 (so35)-70.4%
MATH Lvl 5: 2.95
LLME Score: 0.2356
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sakaltum 7B (sakaltcommunity/sakaltum-7b)
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Sakaltum 7B Parameters and Internals

LLM NameSakaltum 7B
Repository 🤗https://huggingface.co/sakaltcommunity/sakaltum-7b 
Base Model(s)  EvoLLM JP A V1 7B   RakutenAI 7B Instruct   SakanaAI/EvoLLM-JP-A-v1-7B   Rakuten/RakutenAI-7B-instruct
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-09-07
Maintainersakaltcommunity
Model Typemistral
Instruction-BasedYes
Model Files  1.0 GB: 1-of-15   1.0 GB: 2-of-15   1.0 GB: 3-of-15   1.0 GB: 4-of-15   0.9 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   0.9 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   0.9 GB: 13-of-15   1.0 GB: 14-of-15   0.8 GB: 15-of-15
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sakaltcommunity/sakaltum-7b.

Rank the Sakaltum 7B 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 v20241124
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