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PHIMemo/llama31-8b-instruct-sft-balanced-3k
llama31-8b-instruct-sft-balanced-3k is a text generation model from PHIMemo. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.1.
Fine-tuned checkpoints from the model-memo-diff / PHIMemo project (PHI / benign / public seeded documents).
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From the Hugging Face model README
Fine-tuned checkpoints from the model-memo-diff / PHIMemo project (PHI / benign / public seeded documents).
| Revision | Training step | Notes |
|---|---|---|
step-000040 | 40 | SFT checkpoint |
step-000080 | 80 | SFT checkpoint |
step-000160 | 160 | early / donor |
step-000240 | 240 | SFT checkpoint |
step-000320 | 320 | SFT checkpoint |
step-000400 | 400 | SFT checkpoint |
step-000480 | 480 | SFT checkpoint |
step-000640 | 640 | SFT checkpoint |
step-000720 | 720 | SFT checkpoint |
step-000760 | 760 | near-peak |
step-000800 | 800 | near-peak |
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "PHIMemo/llama31-8b-instruct-sft-balanced-3k"
rev = "step-000800" # or any revision above
tok = AutoTokenizer.from_pretrained(repo, revision=rev)
model = AutoModelForCausalLM.from_pretrained(repo, revision=rev, torch_dtype="auto", device_map="auto")
model.safetensors + configs); optimizer / trainer state not uploaded.