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teolm30
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
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Model Details
Model Provider
teolm30
Model Tree
Input Modalities
Output Modalities
Supported Functionality
Custom Benchmark (10 questions):
Estimated MMLU Score: ~40-50%
bash
ollama pull teolm30/fox1.4ollama run fox1.4
python
from transformers import AutoModelForCausalLM, AutoTokenizermodel = AutoModelForCausalLM.from_pretrained("teolm30/fox1.4")tokenizer = AutoTokenizer.from_pretrained("teolm30/fox1.4")inputs = tokenizer("What is 2+2?", return_tensors="pt")output = model.generate(**inputs, max_new_tokens=50)print(tokenizer.decode(output[0]))
bash
ollama run hf.co/teolm30/fox1.4