Text Generation
PEFT
Safetensors
English
code
cobol
code-generation
mainframe-modernization
lora
sft
trl
unsloth
ministral
conversational
Eval Results (legacy)
Instructions to use axeltta/mistral-axel-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use axeltta/mistral-axel-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/ministral-3-8b-instruct-2512-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "axeltta/mistral-axel-1") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 697 Bytes
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