LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

SJT 7B V1.1 Multilingal by Sakalti

 »  All LLMs  »  Sakalti  »  SJT 7B V1.1 Multilingal   URL Share it on

  12   
  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:lightblue/deepseek-...   Base model:sakalti/sjt-7b-v1.1   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-7B-V1.1-Multilingal 

SJT 7B V1.1 Multilingal Benchmarks

MMLU Pro: 1.52
GPQA: 1.34
MUSR: 2.43
BBH: 3.06
IFEval: 19.49 vs 88 (so35)-77.9%
MATH Lvl 5: 0.45
LLME Score: 0.23856
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SJT 7B V1.1 Multilingal (Sakalti/SJT-7B-V1.1-Multilingal)

SJT 7B V1.1 Multilingal Parameters and Internals

LLM NameSJT 7B V1.1 Multilingal
Repository 🤗https://huggingface.co/Sakalti/SJT-7B-V1.1-Multilingal 
Base Model(s)  ...1 Distill Qwen 7B Multilingual   Sakalti/SJT-7B-V1.1   lightblue/DeepSeek-R1-Distill-Qwen-7B-Multilingual   Sakalti/SJT-7B-V1.1
Merged ModelYes
Model Size7b
Required VRAM16.2 GB
Updated2025-06-01
MaintainerSakalti
Model Typeqwen2
Model Files  1.1 GB: 1-of-30   1.1 GB: 2-of-30   0.5 GB: 3-of-30   0.5 GB: 4-of-30   0.5 GB: 5-of-30   0.5 GB: 6-of-30   0.5 GB: 7-of-30   0.5 GB: 8-of-30   0.5 GB: 9-of-30   0.5 GB: 10-of-30   0.5 GB: 11-of-30   0.5 GB: 12-of-30   0.5 GB: 13-of-30   0.5 GB: 14-of-30   0.5 GB: 15-of-30   0.5 GB: 16-of-30   0.5 GB: 17-of-30   0.5 GB: 18-of-30   0.5 GB: 19-of-30   0.5 GB: 20-of-30   0.5 GB: 21-of-30   0.5 GB: 22-of-30   0.5 GB: 23-of-30   0.5 GB: 24-of-30   0.5 GB: 25-of-30   0.5 GB: 26-of-30   0.5 GB: 27-of-30   0.5 GB: 28-of-30   0.5 GB: 29-of-30   0.5 GB: 30-of-30
Model ArchitectureQwen2ForCausalLM
Context Length1010000
Model Max Length1010000
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat16
Errorsreplace

Best Alternatives to SJT 7B V1.1 Multilingal

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB2113335328
Hush Qwen2.5 7B Preview986K / 15.2 GB960
Qwen2.5 7B RRP 1M986K / 15.2 GB2216
Hush Qwen2.5 7B V1.2986K / 15.2 GB81
Hush Qwen2.5 7B V1.1986K / 15.2 GB81
Hush Qwen2.5 7B V1.4986K / 15.2 GB81
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB422
Hush Qwen2.5 7B V1.3986K / 15.2 GB82
Qwen2.5 7B Preview986K / 15.2 GB80
Qwen 2.5 7B Exp Sce986K / 15.2 GB102
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-7B-V1.1-Multilingal.

Rank the SJT 7B V1.1 Multilingal 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  

What open-source LLMs or SLMs are you in search of? 47770 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer