pythia-160m-seed1

297
license:apache-2.0
by
EleutherAI
Language Model
OTHER
New
297 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-160m-seed1 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

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Code Examples

Quick Startpythontransformers
from transformers import GPTNeoXForCausalLM, AutoTokenizer

# Load the final checkpoint
model = GPTNeoXForCausalLM.from_pretrained("EleutherAI/pythia-70m-seed3")
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/pythia-70m-seed3")

# Generate text
inputs = tokenizer("The quick brown fox", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=20)
print(tokenizer.decode(outputs[0]))

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