librarian-bot's picture
Librarian Bot: Add base_model information to model
eb26b5c
|
raw
history blame
933 Bytes
metadata
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