Instructions to use MaralGPT/MaralGPT-Mistral-7B-v-0-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MaralGPT/MaralGPT-Mistral-7B-v-0-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "MaralGPT/MaralGPT-Mistral-7B-v-0-1") - Notebooks
- Google Colab
- Kaggle
MaralGPT Mistral 7B version 0.1
MaralGPT is a Larage Language Model project launched in middle of the year 2023 by Iranian entrepreneur and engineer Muhammadreza Haghiri as an attempt to improve the AI for Persian language and also it is a part of Mann-E project.
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: gptq
- bits: 4
- tokenizer: None
- dataset: None
- group_size: 128
- damp_percent: 0.1
- desc_act: True
- sym: True
- true_sequential: True
- use_cuda_fp16: False
- model_seqlen: None
- block_name_to_quantize: None
- module_name_preceding_first_block: None
- batch_size: 1
- pad_token_id: None
- disable_exllama: False
- max_input_length: None
Framework versions
- PEFT 0.5.0
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