---
language:
- fr
- en
license: llama2
library_name: peft
tags:
- code
- peft
- llama
- llama2
- codellama
datasets:
- Enno-Ai/fr-instructs
inference: true
pipeline_tag: text-generation
base_model: codellama/CodeLlama-34b-Instruct-hf
---
## ARIA CODE FR Instruct is a finetuned model based on LLAMA CODE 34B INSTRUCT

This model has been trained over 10 Millions tokens on a french language dataset structured with Alpaca style.

GPU used for training : NVIDIA A100

Timing of training: 24H
## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
### Framework versions


- PEFT 0.6.0.dev0