Instructions to use aitf-its-tim3-dfk/instruct-ministral-3-8b-extract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aitf-its-tim3-dfk/instruct-ministral-3-8b-extract with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-3-8B-Base-2512") model = PeftModel.from_pretrained(base_model, "aitf-its-tim3-dfk/instruct-ministral-3-8b-extract") - Notebooks
- Google Colab
- Kaggle
Instruct-LoRA-r16-AllLinear
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from mistralai/Ministral-3-8B-Instruct-2512-BF16 and uses mistralai/Ministral-3-8B-Base-2512 as a base.
Parameters
The following command was used to extract this LoRA adapter:
/usr/local/bin/mergekit-extract-lora --model mistralai/Ministral-3-8B-Instruct-2512-BF16 --base-model mistralai/Ministral-3-8B-Base-2512 --out-path /content/Instruct-LoRA-r16-AllLinear --max-rank 16 --device cuda --exclude-regex (lm_head|embed_tokens|norm|ln_pre|ln_post|patch_conv)
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Model tree for aitf-its-tim3-dfk/instruct-ministral-3-8b-extract
Base model
mistralai/Ministral-3-8B-Base-2512
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Ministral-3-8B-Base-2512") model = PeftModel.from_pretrained(base_model, "aitf-its-tim3-dfk/instruct-ministral-3-8b-extract")