Instructions to use MotionG-ai/lead-response-llama-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MotionG-ai/lead-response-llama-8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "MotionG-ai/lead-response-llama-8b") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use MotionG-ai/lead-response-llama-8b with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for MotionG-ai/lead-response-llama-8b to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for MotionG-ai/lead-response-llama-8b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MotionG-ai/lead-response-llama-8b to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="MotionG-ai/lead-response-llama-8b", max_seq_length=2048, )
Lead Response Prediction - Llama 3.1 8B LoRA
⚠️ This is a LoRA adapter, not a full model.
You need to load it with the base model: unsloth/Meta-Llama-3.1-8B-bnb-4bit
Usage
from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
model_name="MotionG-ai/lead-response-llama-8b",
max_seq_length=4096,
load_in_4bit=True,
)
Model Details
- Type: LoRA Adapter
- Base Model: unsloth/Meta-Llama-3.1-8B-bnb-4bit
- LoRA Rank: 16
- Trainable Parameters: 41.9M (0.52%)
- File Size: ~180MB
- Downloads last month
- 6
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Model tree for MotionG-ai/lead-response-llama-8b
Base model
meta-llama/Llama-3.1-8B Quantized
unsloth/Meta-Llama-3.1-8B-bnb-4bit