Sigmer 150M by mahiatlinux

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  Autotrain compatible Base model:finetune:outeai/lit... Base model:outeai/lite-mistral...   Conversational   En   Endpoints compatible   Instruct   Mistral   Pytorch   Region:us   Sft   Trl   Unsloth

Sigmer 150M Benchmarks

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

Sigmer 150M Parameters and Internals

LLM NameSigmer 150M
Repository ๐Ÿค—https://huggingface.co/mahiatlinux/Sigmer-150M 
Base Model(s)  Lite Mistral 150M V2 Instruct   OuteAI/Lite-Mistral-150M-v2-Instruct
Model Size150m
Required VRAM0.3 GB
Updated2024-08-22
Maintainermahiatlinux
Model Typemistral
Instruction-BasedYes
Model Files  0.3 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.43.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32768
Torch Data Typefloat16
Sigmer 150M (mahiatlinux/Sigmer-150M)

Best Alternatives to Sigmer 150M

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Lite Mistral 150M V2 Instruct2K / 0.6 GB64841
BabyHercules 150M2K / 0.3 GB240
Note: green Score (e.g. "73.2") means that the model is better than mahiatlinux/Sigmer-150M.

Rank the Sigmer 150M 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 v2024072803