Instructions to use paul-stansifer/qw3-capybara-7b-1x2e-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paul-stansifer/qw3-capybara-7b-1x2e-4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("paul-stansifer/qw3-capybara-7b-1x2e-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: paul-stansifer
- License: apache-2.0
- Finetuned from model : NousResearch/Nous-Capybara-7B-V1.9
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
language: en library_name: transformers pipeline_tag: text-generation base_model: unsloth/gemma-7b-bnb-4bit datasets:
- paul-stansifer/qwantz-strips-3550 model-index:
- name: Fine-tuned on Dinosaur Comics
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: Dinosaur Comics
type: paul-stansifer/qwantz-strips-3550
metrics:
- type: loss value: 1.748099 name: Loss verified: false
- task:
type: text-generation
name: Text Generation
dataset:
name: Dinosaur Comics
type: paul-stansifer/qwantz-strips-3550
metrics:
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Base model
NousResearch/Nous-Capybara-7B-V1.9