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INTELLECT 1 by PrimeIntellect

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INTELLECT 1 is an open-source language model by PrimeIntellect. Features: 10.2b LLM, VRAM: 20.5GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.19.

  Arxiv:2311.08105 Dataset:mlfoundations/dclm-bas... Dataset:open-web-math/open-web...   Dataset:primeintellect/fineweb Dataset:primeintellect/fineweb... Dataset:primeintellect/stackv1...   En   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PrimeIntellect/INTELLECT-1 

INTELLECT 1 Benchmarks

MMLU Pro: 1.34
MUSR: 4.14
BBH: 1.04
IFEval: 17.57 vs 88 (so35)-80%
LLME Score: 0.189
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
INTELLECT 1 (PrimeIntellect/INTELLECT-1)
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INTELLECT 1 Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (English)
Training Details 
Data Sources:
PrimeIntellect/fineweb-edu, PrimeIntellect/fineweb, PrimeIntellect/StackV1-popular, mlfoundations/dclm-baseline-1.0-parquet, open-web-math/open-web-math
Data Volume:
1 Trillion tokens
Methodology:
DiLoCo algorithms with Inner steps, Global all-reduce with custom int8
Context Length:
8192
Input Output 
Input Format:
BOS token required at the beginning of each sample
Accepted Modalities:
text
Performance Tips:
Add BOS token at the beginning of each sample to avoid performance issues.
LLM NameINTELLECT 1
Repository 🤗https://huggingface.co/PrimeIntellect/INTELLECT-1 
Model Size10.2b
Required VRAM20.5 GB
Updated2026-04-05
MaintainerPrimeIntellect
Model Typellama
Model Files  2.8 GB: 0-of-10   1.9 GB: 1-of-10   2.0 GB: 2-of-10   1.8 GB: 3-of-10   1.9 GB: 4-of-10   2.0 GB: 5-of-10   1.8 GB: 6-of-10   1.9 GB: 7-of-10   2.0 GB: 8-of-10   2.4 GB: 9-of-10
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256

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Note: green Score (e.g. "73.2") means that the model is better than PrimeIntellect/INTELLECT-1.

Rank the INTELLECT 1 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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