Instructions to use pointbreak3000/MINDMATE.AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pointbreak3000/MINDMATE.AI with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "pointbreak3000/MINDMATE.AI") - Notebooks
- Google Colab
- Kaggle
File size: 311 Bytes
7cdc5a4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"architectures": ["MistralForCausalLM"],
"model_type": "mistral",
"hidden_size": 4096,
"intermediate_size": 14336,
"num_attention_heads": 32,
"num_hidden_layers": 32,
"vocab_size": 32000,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"use_cache": true,
"rope_theta": 10000.0
}
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