pythia-31m

161
license:apache-2.0
by
EleutherAI
Language Model
OTHER
New
161 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Training Data Analysis

🟢 Excellent (8.0/10)

Researched training datasets used by pythia-31m 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

Quickstartpythontransformers
from transformers import GPTNeoXForCausalLM, AutoTokenizer

model = GPTNeoXForCausalLM.from_pretrained(
  "EleutherAI/pythia-31m",
  revision="step3000",
  cache_dir="./pythia-31m/step3000",
)

tokenizer = AutoTokenizer.from_pretrained(
  "EleutherAI/pythia-31m",
  revision="step3000",
  cache_dir="./pythia-31m/step3000",
)

inputs = tokenizer("Hello, I am", return_tensors="pt")
tokens = model.generate(**inputs)
tokenizer.decode(tokens[0])

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