INTELLECT-1-step-69200
This is an intermediate checkpoint of INTELLECT-1. You can find the final version as well as the instruct one
| Step | Model URL | |
|---|---|---|
| 17000 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-17000 | |
| 28600 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-28600 | |
| 39200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-39200 | |
| 49200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-49200 | |
| 59200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-59200 | |
| -> | 69200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-69200 |
| 78000 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-78000 | |
| 88000 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-88000 |
Model Overview
INTELLECT-1 is the first collaboratively trained 10 billion parameter language model trained from scratch on 1 trillion tokens of English text and code.
INTELLECT-1 was trained on up to 14 concurrent nodes distributed across 3 continents, with contributions from 30 independent community contributors providing compute.
The training code utilizes the prime framework, a scalable distributed training framework designed for fault-tolerant, dynamically scaling, high-perfomance training on unreliable, globally distributed workers.
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
The global all-reduce was done with custom int8 all-reduce kernels to reduce the communication payload required, greatly reducing the communication overhead.
For more detailed technical insights, please refer to our technical paper.
Model Details
- 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
- Release Date: 29 Nov 2024
- Model License: Apache 2.0
Technical Specifications
| Parameter | Value |
|---|---|
| Parameter Size | 10B |
| Number of Layers | 42 |
| Number of Attention Heads | 32 |
| Hidden Size | 4096 |
| Context Length | 8192 |
| Vocabulary Size | 128256 |
Citations
If you use this model in your research, please cite it as follows:
@article{}