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 config.json from Coralfil/Atlantis-Pyramid-v2: direct link, hf CLI and curl.
- Browser
- Download file 711 Bytes
-
https://huggingface.co/Coralfil/Atlantis-Pyramid-v2/resolve/main/config.json
- Command line
-
hf download hf://Coralfil/Atlantis-Pyramid-v2/config.json
-
curl -L -o config.json https://huggingface.co/Coralfil/Atlantis-Pyramid-v2/resolve/main/config.json
711 Bytes
| { | |
| "architectures": [ | |
| "Qwen2ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151645, | |
| "hidden_act": "silu", | |
| "hidden_size": 5120, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 27648, | |
| "max_position_embeddings": 32768, | |
| "max_window_layers": 64, | |
| "model_type": "qwen2", | |
| "num_attention_heads": 40, | |
| "num_hidden_layers": 64, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": null, | |
| "rope_theta": 1000000.0, | |
| "sliding_window": null, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.45.0", | |
| "use_cache": true, | |
| "use_sliding_window": false, | |
| "vocab_size": 152064 | |
| } |