base_model: huggyllama/llama-30b
base_model_config: huggyllama/llama-30b
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
strict: false
push_dataset_to_hub: winglian
# dataset_shard_num: 3
# dataset_shard_idx: 0
datasets:
  - path: winglian/pygmalion-cleaned
    data_files:
      - v12_no_ai.shard_0.jsonl
    type: pygmalion
  - path: winglian/evals
    data_files:
      - hf/ARC-Challenge.jsonl
      - hf/ARC-Easy.jsonl
      - hf/riddle_sense.jsonl
    type: explainchoice:chat
  - path: winglian/evals
    data_files:
      - openai/tldr.jsonl
    type: summarizetldr:chat
  - path: winglian/evals
    data_files:
      - hf/gsm8k.jsonl
    type: alpacachat.load_qa
  - path: winglian/evals
    data_files:
      - hellaswag/hellaswag.jsonl
    type: explainchoice:chat
  - path: metaeval/ScienceQA_text_only
    type: concisechoice:chat
  - path: ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
    type: alpaca:chat
  - path: ehartford/wizard_vicuna_70k_unfiltered
    type: sharegpt:chat
  - path: winglian/chatlogs-en-cleaned
    data_files:
      - sharegpt_cleaned.jsonl
    type: sharegpt:chat
  - path: teknium/GPT4-LLM-Cleaned
    type: alpaca:chat
  - path: teknium/GPTeacher-General-Instruct
    data_files: gpt4-instruct-similarity-0.6-dataset.json
    type: gpteacher:chat
  - path: ewof/code-alpaca-instruct-unfiltered
    type: alpaca:chat
  - path: QingyiSi/Alpaca-CoT
    data_files:
      - Chain-of-Thought/formatted_cot_data/aqua_train.json                                                                                                                                                                                                                    [4/1757]
      - Chain-of-Thought/formatted_cot_data/creak_train.json
      - Chain-of-Thought/formatted_cot_data/ecqa_train.json
      - Chain-of-Thought/formatted_cot_data/esnli_train.json
      - Chain-of-Thought/formatted_cot_data/gsm8k_train.json
      - Chain-of-Thought/formatted_cot_data/qasc_train.json
      - Chain-of-Thought/formatted_cot_data/qed_train.json
      - Chain-of-Thought/formatted_cot_data/sensemaking_train.json
      - Chain-of-Thought/formatted_cot_data/strategyqa_train.json
      - GPTeacher/Roleplay/formatted_roleplay-similarity_0.6-instruct-dataset.json
    type: alpaca:chat
dataset_prepared_path: last_run_prepared
val_set_size: 0.01
adapter:
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len: 2048
lora_r:
lora_alpha:
lora_dropout:
lora_target_modules:
lora_fan_in_fan_out:
wandb_project: manticore-13b-v2
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./manticore-13b-v2
batch_size: 512
micro_batch_size: 8
num_epochs: 4
optimizer:
torchdistx_path:
lr_scheduler:
learning_rate: 0.00004
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: true
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention: true
flash_attention:
gptq_groupsize:
gptq_model_v1:
warmup_steps: 20
eval_steps: 5
save_steps: 43
debug:
deepspeed:
weight_decay: 0.0001
fsdp:
fsdp_config:
special_tokens:
  bos_token: "<s>"
  eos_token: "</s>"
  unk_token: "<unk>"