license: apache-2.0
datasets:
- PrimeIntellect/fineweb-edu
- PrimeIntellect/fineweb
- PrimeIntellect/StackV1-popular
- mlfoundations/dclm-baseline-1.0-parquet
- open-web-math/open-web-math
language:
- en
pipeline_tag: text-generation
INTELLECT-1-step-88000
This is an intermediate checkpoint of INTELLECT-1. You can find the final version as well as the instruct one
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{}