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Seed X Instruct 7B by ByteDance-Seed

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Seed X Instruct 7B is an open-source language model by ByteDance-Seed. Features: 7b LLM, VRAM: 15GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.21.

  Arxiv:2507.13618   Ar   Cs   Da   Dataset:facebook/flores   De   En   Es   Fi   Fr   Hi   Hu   Id   Instruct   It   Ja   Ko   Mistral   Ms   Nb   Nl   No   Pl   Pt   Region:us   Ro   Ru   Safetensors   Sv   Th   Tr   Translation   Uk   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/ByteDance-Seed/Seed-X-Instruct-7B 

Seed X Instruct 7B Benchmarks

LLME Score: 0.21182
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Seed X Instruct 7B (ByteDance-Seed/Seed-X-Instruct-7B)
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Seed X Instruct 7B Parameters and Internals

LLM NameSeed X Instruct 7B
Repository 🤗https://huggingface.co/ByteDance-Seed/Seed-X-Instruct-7B 
Model Size7b
Required VRAM15 GB
Updated2026-07-17
MaintainerByteDance-Seed
Model Typemistral
Instruction-BasedYes
Model Files  15.0 GB
Supported Languageszh en ar cs de da fi fr hi hu it id ja ko ms nb pt pl ro sv th vi es nl no ru tr uk
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Vocabulary Size65269
Torch Data Typebfloat16

Best Alternatives to Seed X Instruct 7B

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB22020
SpydazWeb AI HumanAI RP512K / 14.4 GB241
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB11153373184
Mistral 7B Instruct V0.132K / 14.4 GB3081411845
Mistral 7B Instruct V0.232K / 14.4 GB16310
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than ByteDance-Seed/Seed-X-Instruct-7B.

Rank the Seed X Instruct 7B 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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