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Model: PrimeIntellect/INTELLECT-1-step-15500 Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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datasets:
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- PrimeIntellect/fineweb-edu
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- PrimeIntellect/fineweb
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- PrimeIntellect/StackV1-popular
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- mlfoundations/dclm-baseline-1.0-parquet
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- open-web-math/open-web-math
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language:
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- en
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pipeline_tag: text-generation
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---
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# INTELLECT-1-step-17000
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This is an intermediate checkpoint of INTELLECT-1. You can find the [final version](https://huggingface.co/PrimeIntellect/INTELLECT-1) as well as the [instruct one](https://huggingface.co/PrimeIntellect/INTELLECT-1-Instruct)
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| | Step | Model URL |
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|---|------|-----------|
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| -> | 17000 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-17000 |
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| | 28600 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-28600 |
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| | 39200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-39200 |
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| | 49200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-49200 |
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| | 59200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-59200 |
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| | 69200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-69200 |
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| | 78000 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-78000 |
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| | 88000 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-88000 |
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## **Model Overview**
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**INTELLECT-1** is the first collaboratively trained 10 billion parameter language model trained from scratch on 1 trillion tokens of English text and code.
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**INTELLECT-1** was trained on up to 14 concurrent nodes distributed across 3 continents, with contributions from 30 independent community contributors providing compute.
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The training code utilizes the [prime framework](https://github.com/PrimeIntellect-ai/prime), a scalable distributed training framework designed for fault-tolerant, dynamically scaling, high-perfomance training on unreliable, globally distributed workers.
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The key abstraction that allows dynamic scaling is the `ElasticDeviceMesh` which manages dynamic global process groups for fault-tolerant communication across the internet and local process groups for communication within a node
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The global all-reduce was done with custom int8 all-reduce kernels to reduce the communication payload required, greatly reducing the communication overhead.
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For more detailed technical insights, please refer to our [technical paper](https://github.com/PrimeIntellect-ai/prime).
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## **Model Details**
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- **Model Contributors**: samsja, Prime Intellect, Arcee AI, kotaro, skre_0, marlo, rodeo, Herb, Olas, superchillen, Hugging Face, mev_pete, 0xfr_, dj, primeprimeint1234, Marco Giglio, realtek, Hyperbolic, hecataeus, NWO, Virtual Machine, droll, SemiAnalysis, _waiting__, toptickcrypto, sto, Johannes, washout_segment_0b, klee
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- **Release Date**: 29 Nov 2024
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- **Model License**: Apache 2.0
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## **Technical Specifications**
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| **Parameter** | **Value** |
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|----------------------|------------------------|
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| Parameter Size | 10B |
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| Number of Layers | 42 |
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| Number of Attention Heads | 32 |
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| Hidden Size | 4096 |
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| Context Length | 8192 |
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| Vocabulary Size | 128256 |
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## **Citations**
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If you use this model in your research, please cite it as follows:
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```
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@article{}
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```
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config.json
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16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"bos_token": {
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||||
"content": "<|begin_of_text|>",
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||||
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},
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||||
}
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}
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||||
410563
tokenizer.json
Normal file
410563
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2061
tokenizer_config.json
Normal file
2061
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user