Gilgamesh 72B by rubenroy

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Gilgamesh 72B is an open-source language model by rubenroy. Features: 72b LLM, VRAM: 146GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.31.

  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-72b-in...   Chat   Conversational Dataset:rubenroy/gammacorpus-c... Dataset:rubenroy/gammacorpus-f... Dataset:rubenroy/gammacorpus-v...   En   Endpoints compatible   Gammacorpus   Gilgamesh   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Gilgamesh 72B Benchmarks

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

Gilgamesh 72B Parameters and Internals

LLM NameGilgamesh 72B
Repository 🤗https://huggingface.co/rubenroy/Gilgamesh-72B 
Base Model(s)  Qwen/Qwen2.5-72B-Instruct   Qwen/Qwen2.5-72B-Instruct
Model Size72b
Required VRAM146 GB
Updated2025-05-24
Maintainerrubenroy
Model Typeqwen2
Instruction-BasedYes
Model Files  4.5 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   3.2 GB: 30-of-31   2.5 GB: 31-of-31
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2 72B Instruct32K / 145.5 GB39078718
Note: green Score (e.g. "73.2") means that the model is better than rubenroy/Gilgamesh-72B.

Rank the Gilgamesh 72B 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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Release v20260328a