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base_model: mistral-community/Mixtral-8x22B-v0.1
model_type: AutoModelForCausalLM
tokenizer_type: LlamaTokenizer
trust_remote_code: true
load_in_8bit: false
load_in_4bit: false
strict: false
unfrozen_parameters:
- ^lm_head.weight$
- ^model.embed_tokens.weight$
- model.layers.4[4-9]+.block_sparse_moe.gate
- model.layers.4[4-9]+.block_sparse_moe.experts
- model.layers.5[0-5]+.block_sparse_moe.gate
- model.layers.5[0-5]+.block_sparse_moe.experts
model_config:
output_router_logits: true
datasets:
- path: yahma/alpaca-cleaned
type: alpaca
output_dir: ./outputs/out
sequence_len: 8000
sample_packing: true
pad_to_sequence_len: true
gradient_accumulation_steps: 1
micro_batch_size: 1
num_epochs: 3
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0001
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
save_total_limit: 1
save_steps:
debug:
deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_all.json
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
eos_token: "<|im_end|>"
tokens:
- "<|im_start|>"
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