seed: 0
output_dir: './output'
load_checkpoint: ''
src_strategy_path_or_dir: ''
auto_trans_ckpt: False
run_mode: 'predict'

# trainer config
trainer:
  type: CausalLanguageModelingTrainer
  model_name: 'telechat_35b'

use_parallel: True
# parallel context config
parallel:
  parallel_mode: "STAND_ALONE" # 0-data parallel, 1-semi-auto parallel, 2-auto parallel, 3-hybrid parallel
  full_batch: False
  strategy_ckpt_save_file: "./ckpt_strategy.ckpt"
parallel_config:
  data_parallel: 1
  model_parallel: 2
  vocab_emb_dp: False

# mindspore context init config
context:
  mode: 0 #0--Graph Mode; 1--Pynative Mode
  max_device_memory: "58GB"
  device_id: 0
  save_graphs: False
  save_graphs_path: "./graph"
  mempool_block_size: "58GB"
  affinity_cpu_list: "None"

# model config
model:
  model_config:
    type: TelechatConfig
    batch_size: 1 # add for increase predict
    net_name: "telechat3_36b"
    seq_length: 8192
    hidden_size: 6144
    num_layers: 64
    layers_group: 1
    num_heads: 48
    n_kv_heads: 8
    embedding_size: 512
    vocab_size: 131072
    eod_reset: False
    out_proj_has_bias: False
    rms_norm_eps: 1.0e-5
    bos_token_id: 1
    eos_token_id: 2
    pad_token_id: 3
    ignore_token_id: -100
    intermediate_size: 24576
    res_dtype: "bfloat16"
    compute_dtype: "bfloat16"
    layernorm_compute_type: "float32"
    softmax_compute_type: "float32"
    rotary_dtype: "float32"
    param_init_type: "bfloat16"
    use_past: True
    pretrain_seqlen: 8192 # seqlen of the pretrain checkpoint
    extend_method: "None" # support "None", "PI", "NTK"
    use_flash_attention: True # FA can accelerate training or finetune
    block_size: 16
    num_blocks: 512
    is_dynamic: True
    qkv_concat: False
    use_past_shard: False
    repetition_penalty: 1.03
    max_decode_length: 512
    top_k: 3
    top_p: 1
    do_sample: False
    auto_map:
      AutoModel: telechat.ParallelTelechatForCausalLM
      AutoConfig: telechat_config.TelechatConfig
      AutoTokenizer: [telechat_tokenizer.TelechatTokenizer, null]
  arch:
    type: ParallelTelechatForCausalLM

processor:
  return_tensors: ms
  tokenizer:
    vocab_file: ""
    unk_token: '<unk>'
    bos_token: '<_start>'
    eos_token: '<_end>'
    pad_token: '<_pad>'
    type: TelechatTokenizer