Instructions to use oli-mebberson/lattice-pulse-2-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oli-mebberson/lattice-pulse-2-8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-8b-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "oli-mebberson/lattice-pulse-2-8b") - Notebooks
- Google Colab
- Kaggle
Lattice Pulse 2 (8B) โ LoRA adapter
QLoRA fine-tune of Qwen/Qwen3-8B for Lattice Systems.
This repo is the adapter only (~170MB). Inference still loads the base model, then applies this LoRA:
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B", torch_dtype="auto", device_map="auto")
model = PeftModel.from_pretrained(base, "oli-mebberson/lattice-pulse-2-8b")
tok = AutoTokenizer.from_pretrained("oli-mebberson/lattice-pulse-2-8b")
Or locally: python -m pulse.chat_pulse2 --adapter /path/to/checkpoint-400
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