Opt 350M by AlekseyKorshuk

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Opt 350M is an open-source language model by AlekseyKorshuk. Features: 350m LLM, VRAM: 1.4GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.01.

  Endpoints compatible   Opt   Pytorch   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/AlekseyKorshuk/opt-350m 

Opt 350M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opt 350M (AlekseyKorshuk/opt-350m)
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Opt 350M Parameters and Internals

LLM NameOpt 350M
Repository ๐Ÿค—https://huggingface.co/AlekseyKorshuk/opt-350m 
Model Size350m
Required VRAM1.4 GB
Updated2026-04-03
MaintainerAlekseyKorshuk
Model Typeopt
Model Files  1.4 GB
Model ArchitectureOPTForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.19.0.dev0
Vocabulary Size50272
Torch Data Typefloat32
Activation Functiongelu_new

Best Alternatives to Opt 350M

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Context / RAM
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Opt Mini Dataset 02K / 0.7 GB50
Facebook Opt 350M SFT Korz142K / 0.7 GB50
Opt 350M2K / 0.7 GB174097149
Temp Model Sft2K / 1.3 GB50
Gpt350 Chat S V02K / 0.7 GB60
Gpt350 Chat S V0 12K / 0.7 GB50
Dadjokes Tuned Opt2K / 1.3 GB72
Pygmalion 350M2K / 1.3 GB90754
Rockyalquimista8882K / 1.3 GB50
Remedycure2K / 1.3 GB50
Note: green Score (e.g. "73.2") means that the model is better than AlekseyKorshuk/opt-350m.

Rank the Opt 350M Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Release v20260328a