library_name: peft | |
tags: | |
- Llama2 | |
- code | |
- llama | |
- opensource | |
pipeline_tag: text-generation | |
inference: true | |
base_model: codellama/CodeLlama-34b-Instruct-hf | |
## Aria Code is based on Code LLAMA 34B Instruct finetuned on French | |
Aria code is a model built for educational purposes in French speaking countries on coding. | |
The model is built to help students to learn coding in their native language while having the base qualities of LLAMA CODE which has been | |
trained over 500 billions token of coding content. We belive coding skills are very valuable to reduce youth unemployment rates around the world | |
and gives more scientific skills to students. LLAMA 2 base models have enough safeguards and censorship to ensure a safe use by kids and within academic environments. | |
GPU used for training: Nvidia A100 | |
Timing: Less than 24 hours | |
Number of finetuning tokens : Over 10.000 high quality french language tokens. | |
## 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 |