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Galactica 125M Cot by jeggers

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Galactica 125M Cot is an open-source language model by jeggers. Features: 125m LLM, VRAM: 0.5GB, Context: 2K, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   Endpoints compatible   Opt   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/jeggers/galactica-125m-cot 

Galactica 125M Cot Benchmarks

LLME Score: 0.13368
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Galactica 125M Cot (jeggers/galactica-125m-cot)
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Galactica 125M Cot Parameters and Internals

LLM NameGalactica 125M Cot
Repository 🤗https://huggingface.co/jeggers/galactica-125m-cot 
Model Size125m
Required VRAM0.5 GB
Updated2026-05-19
Maintainerjeggers
Model Typeopt
Model Files  0.5 GB
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.43.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size50000
Torch Data Typefloat32
Activation Functiongelu

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Opt 125M2K / 0.3 GB9414291252
...125M Qcqa Ub 6 Best For Q Loss2K / 0.5 GB2330
...25M Gqa Ub 6 Best For KV Cache2K / 0.5 GB2070
...5M Qcqa Ub 6 Best For KV Cache2K / 0.5 GB1540
Galactica Ref2K / 0.5 GB50
Galactica 125M DPO Pos2K / 0.5 GB50
Galactica 125M DPO2K / 0.5 GB50
BertQA2K / 0.5 GB50
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...st Model For Identifying Frogs2K / 0 GB8180
Note: green Score (e.g. "73.2") means that the model is better than jeggers/galactica-125m-cot.

Rank the Galactica 125M Cot 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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