Commit
•
01c7cb9
1
Parent(s):
38e2bc2
Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
datasets:
|
| 4 |
+
- PrimeIntellect/fineweb-edu
|
| 5 |
+
- PrimeIntellect/fineweb
|
| 6 |
+
- PrimeIntellect/StackV1-popular
|
| 7 |
+
- mlfoundations/dclm-baseline-1.0-parquet
|
| 8 |
+
- open-web-math/open-web-math
|
| 9 |
+
language:
|
| 10 |
+
- en
|
| 11 |
+
pipeline_tag: text-generation
|
| 12 |
+
---
|
| 13 |
+
# INTELLECT-1-step-69200
|
| 14 |
+
|
| 15 |
+
| | Step | Model URL |
|
| 16 |
+
|---|------|-----------|
|
| 17 |
+
| | 17000 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-17000 |
|
| 18 |
+
| | 28600 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-28600 |
|
| 19 |
+
| | 39200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-39200 |
|
| 20 |
+
| | 49200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-49200 |
|
| 21 |
+
| | 59200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-59200 |
|
| 22 |
+
| -> | 69200 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-69200 |
|
| 23 |
+
| | 78000 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-78000 |
|
| 24 |
+
| | 88000 | https://huggingface.co/PrimeIntellect/INTELLECT-1-step-88000 |
|
| 25 |
+
|
| 26 |
+
## **Model Overview**
|
| 27 |
+
**INTELLECT-1** is the first collaboratively trained 10 billion parameter language model trained from scratch on 1 trillion tokens of English text and code.
|
| 28 |
+
|
| 29 |
+
**INTELLECT-1** was trained on up to 14 concurrent nodes distributed across 3 continents, with contributions from 30 independent community contributors providing compute.
|
| 30 |
+
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.
|
| 31 |
+
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
|
| 32 |
+
The global all-reduce was done with custom int8 all-reduce kernels to reduce the communication payload required, greatly reducing the communication overhead.
|
| 33 |
+
|
| 34 |
+
For more detailed technical insights, please refer to our [technical paper](https://github.com/PrimeIntellect-ai/prime).
|
| 35 |
+
|
| 36 |
+
## **Model Details**
|
| 37 |
+
- **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
|
| 38 |
+
- **Release Date**: 29 Nov 2024
|
| 39 |
+
- **Model License**: Apache 2.0
|
| 40 |
+
|
| 41 |
+
## **Technical Specifications**
|
| 42 |
+
| **Parameter** | **Value** |
|
| 43 |
+
|----------------------|------------------------|
|
| 44 |
+
| Parameter Size | 10B |
|
| 45 |
+
| Number of Layers | 42 |
|
| 46 |
+
| Number of Attention Heads | 32 |
|
| 47 |
+
| Hidden Size | 4096 |
|
| 48 |
+
| Context Length | 8192 |
|
| 49 |
+
| Vocabulary Size | 128256 |
|
| 50 |
+
|
| 51 |
+
## **Citations**
|
| 52 |
+
If you use this model in your research, please cite it as follows:
|
| 53 |
+
```
|
| 54 |
+
@article{}
|
| 55 |
+
```
|