Cybertron V4 Qw7B MGS by fblgit

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  Arxiv:2407.10671   Arxiv:2410.21228   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational Dataset:magpie-align/magpie-qw...   En   Endpoints compatible   Generated from trainer   Instruct   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Cybertron V4 Qw7B MGS Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Cybertron V4 Qw7B MGS Parameters and Internals

LLM NameCybertron V4 Qw7B MGS
Repository ๐Ÿค—https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2024-11-21
Maintainerfblgit
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Cybertron V4 Qw7B MGS (fblgit/cybertron-v4-qw7B-MGS)

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Note: green Score (e.g. "73.2") means that the model is better than fblgit/cybertron-v4-qw7B-MGS.

Rank the Cybertron V4 Qw7B MGS 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110