pythia-2.8b-VIPO_5e-7_1.0vpo_const-1ep

4
2 languages
—
by
JayHyeon
Language Model
OTHER
2.8B params
New
4 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
7GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
3GB+ RAM

Training Data Analysis

🟢 Excellent (8.0/10)

Researched training datasets used by pythia-2.8b-VIPO_5e-7_1.0vpo_const-1ep with quality assessment

Specialized For

code
general
science
multilingual

Training Datasets (1)

the pile
🟢 8/10
code
general
science
multilingual
Key Strengths
  • •Deliberate Diversity: Explicitly curated to include diverse content types (academia, code, Q&A, book...
  • •Documented Quality: Each component dataset is thoroughly documented with rationale for inclusion, en...
  • •Epoch Weighting: Component datasets receive different training epochs based on perceived quality, al...

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

Quick startpythontransformers
from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="JayHyeon/pythia-2.8b-VIPO_5e-7_1.0vpo_const-1ep", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

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