base_model: mistralai/Mistral-7B-v0.3
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer

load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: MangoHQ/Kalo-Opus-Instruct-22k-Refusal-Murdered
    type: sharegpt
  - path: MangoHQ/Gryphe-3.5-16k-Subset
    type: sharegpt
  - path: Epiculous/Synthstruct-Gens-v1-Filtered-n-Cleaned
    type: sharegpt

dataset_prepared_path:
val_set_size: 0.05
output_dir: ./outputs/out

sequence_len: 16384
sample_packing: true
pad_to_sequence_len: true
eval_sample_packing: false

wandb_project: Magstral 7B
wandb_entity:
wandb_watch:
wandb_name: Magstral 7B
wandb_log_model:

gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 4
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.000005

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 10
evals_per_epoch: 4
eval_table_size: 
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens: