Text Generation
PEFT
Safetensors
English
qwen2
marine-science
oceanography
aquaculture
coastal-restoration
environmental-compliance
dfo-statutory
qwen
deepseek-r1-distill
lora
vllm
awq
cuda
aboveboard-benchmark
conversational
Eval Results (legacy)
Instructions to use Coralfil/Atlantis-Pyramid-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Coralfil/Atlantis-Pyramid-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct") model = PeftModel.from_pretrained(base_model, "Coralfil/Atlantis-Pyramid-v2") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Coralfil/Atlantis-Pyramid-v2: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Coralfil/Atlantis-Pyramid-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Coralfil/Atlantis-Pyramid-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Coralfil/Atlantis-Pyramid-v2/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 5e697da19678e5e51bde656837ff0de81f0711643ad446628cdd5f12aadaee2f
- Size of remote file:
- 11.4 MB
- SHA256:
- 7db30a1d2eb1481a43fb713677f198cc1281c36746f587053339f29992c9b3c4
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