tulu3sft-normal-smollm-1p7b-500B-30n-2048sl-960gbsz

This is a supervised fine-tuned (SFT) checkpoint for a SmolLM2-style 1.7B model, trained on the allenai/tulu-3-sft-mixture dataset. It is based on the 500B-token pretrained base checkpoint and exported in Hugging Face LlamaForCausalLM format.

Details

  • Base model: normal-smollm-1p7b-500B-30n-2048sl-960gbsz
  • SFT dataset: allenai/tulu-3-sft-mixture
  • Context length: 2048
  • Vocab size: 49152
  • Architecture: Llama (RMSNorm, SwiGLU, RoPE)

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "REPLACE_WITH_OWNER/tulu3sft-normal-smollm-1p7b-500B-30n-2048sl-960gbsz"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

Notes

This is an SFT model intended for chat-style use. For preference tuning, run DPO on top of this checkpoint.

Downloads last month
6
Safetensors
Model size
2B params
Tensor type
BF16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support