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Grok 1 by hpcai-tech

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Grok 1 is an open-source language model by hpcai-tech. Features: LLM, VRAM: 9.7GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.32, ELO: 1460.

  Custom code   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/hpcai-tech/grok-1 

Grok 1 Benchmarks

LMSys ELO: 1460 vs 1272 (so35)14.8%
LLME Score: 0.3225
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Grok 1 (hpcai-tech/grok-1)
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Grok 1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Utilizes parallelism techniques from ColossalAI framework for accelerated inference. A PyTorch version converted from the original JAX model with a compatible tokenizer contributed by Xenova and ArthurZ.
LLM NameGrok 1
Repository 🤗https://huggingface.co/hpcai-tech/grok-1 
Required VRAM9.7 GB
Updated2026-04-09
Maintainerhpcai-tech
Model Files  9.7 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB   9.8 GB
Model ArchitectureGrok1ModelForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.35.0
Vocabulary Size131072
Torch Data Typebfloat16

Rank the Grok 1 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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