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SJT Moe2x7.5B by Sakalti

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SJT Moe2x7.5B is an open-source language model by Sakalti. Features: 7.5b LLM, VRAM: 21.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.25.

  Arxiv:1910.09700 Base model:finetune:sakalti/sj...   Base model:sakalti/sjt-7.5b   Conversational   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-Moe2x7.5B 

SJT Moe2x7.5B Benchmarks

LLME Score: 0.24632
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SJT Moe2x7.5B (Sakalti/SJT-Moe2x7.5B)
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SJT Moe2x7.5B Parameters and Internals

LLM NameSJT Moe2x7.5B
Repository 🤗https://huggingface.co/Sakalti/SJT-Moe2x7.5B 
Base Model(s)  Sakalti/SJT-7.5B   Sakalti/SJT-7.5B
Model Size7.5b
Required VRAM21.1 GB
Updated2026-05-08
MaintainerSakalti
Model Typemixtral
Model Files  0.8 GB: 1-of-59   0.5 GB: 2-of-59   0.5 GB: 3-of-59   0.4 GB: 4-of-59   0.5 GB: 5-of-59   0.4 GB: 6-of-59   0.5 GB: 7-of-59   0.4 GB: 8-of-59   0.5 GB: 9-of-59   0.4 GB: 10-of-59   0.5 GB: 11-of-59   0.4 GB: 12-of-59   0.5 GB: 13-of-59   0.4 GB: 14-of-59   0.5 GB: 15-of-59   0.4 GB: 16-of-59   0.5 GB: 17-of-59   0.4 GB: 18-of-59   0.5 GB: 19-of-59   0.4 GB: 20-of-59   0.5 GB: 21-of-59   0.4 GB: 22-of-59   0.5 GB: 23-of-59   0.4 GB: 24-of-59   0.5 GB: 25-of-59   0.4 GB: 26-of-59   0.5 GB: 27-of-59   0.4 GB: 28-of-59   0.5 GB: 29-of-59   0.4 GB: 30-of-59   0.5 GB: 31-of-59   0.4 GB: 32-of-59   0.5 GB: 33-of-59   0.4 GB: 34-of-59   0.5 GB: 35-of-59   0.4 GB: 36-of-59   0.5 GB: 37-of-59   0.4 GB: 38-of-59   0.5 GB: 39-of-59   0.4 GB: 40-of-59   0.5 GB: 41-of-59   0.4 GB: 42-of-59   0.5 GB: 43-of-59   0.4 GB: 44-of-59   0.5 GB: 45-of-59   0.4 GB: 46-of-59
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Vocabulary Size131072
Torch Data Typefloat16

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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