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auryn-macmillan
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Model Details
Model Provider
auryn-macmillan
Model Tree
Input Modalities
Output Modalities
Supported Functionality
| Stage | Platform | Steps | Batch | Seq len | Data |
|---|---|---|---|---|---|
| MLX run 1 | Apple Silicon | 150 | 4 | 512 | OpenCodeInstruct |
| MLX run 2 | Apple Silicon | 250 | 2 | 1024 | OpenCodeInstruct |
| Phase 1 | 2x RTX 3090 | 550 | 16 (eff) | 2048 | OpenThoughts + OpenR1-Math + OpenCodeInstruct |
| Benchmark | Score |
|---|---|
| GSM8K | 46.0% |
| HumanEval (pass@1) | 7.3% |
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('auryn-macmillan/boostedv1') tok = AutoTokenizer.from_pretrained('auryn-macmillan/boostedv1') inputs = tok('What is 2+2?', return_tensors='pt') out = model.generate(**inputs, max_new_tokens=128) print(tok.decode(out[0]))