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manticore-13b

Text Generation
Transformers
PyTorch
English
llama
Inference Endpoints
text-generation-inference
Model card Files Community
13
manticore-13b
File size: 2,833 Bytes 
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base_model: huggyllama/llama-13b
# base_model: /workspace/manticore-13b/
base_model_config: huggyllama/llama-13b
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
datasets:
  - path: winglian/evals
    data_files:
      - hf/ARC-Challenge.jsonl
      - hf/ARC-Easy.jsonl
      - mmlu/abstract_algebra.jsonl
      - mmlu/conceptual_physics.jsonl
      - mmlu/formal_logic.jsonl
      - mmlu/high_school_physics.jsonl
      - mmlu/logical_fallacies.jsonl
    type: explainchoice
  - path: winglian/evals
    data_files:
      - openai/tldr.jsonl
    type: summarizetldr
  - path: winglian/evals
    data_files:
      - hellaswag/hellaswag-concise.jsonl
    type: concisechoice
  - path: metaeval/ScienceQA_text_only
    type: concisechoice
  - path: ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
    type: alpaca
  - path: ehartford/wizard_vicuna_70k_unfiltered
    type: sharegpt
  - path: winglian/chatlogs-en-cleaned
    data_files:
      - sharegpt_cleaned.jsonl
    type: sharegpt
  - path: teknium/GPT4-LLM-Cleaned
    type: alpaca
  - path: teknium/GPTeacher-General-Instruct
    data_files: gpt4-instruct-similarity-0.6-dataset.json
    type: gpteacher
  - path: QingyiSi/Alpaca-CoT
    data_files:
      - Chain-of-Thought/formatted_cot_data/aqua_train.json
      - 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
dataset_prepared_path: last_run_prepared
val_set_size: 0.02
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
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./manticore-13b
batch_size: 512
micro_batch_size: 8
num_epochs: 4
optimizer:
torchdistx_path:
lr_scheduler:
learning_rate: 0.000032
train_on_inputs: false
group_by_length: false
bf16: true
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: 10
save_steps:
debug:
deepspeed:
weight_decay: 0
fsdp:
  - full_shard
  - auto_wrap
fsdp_config:
  fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
special_tokens:
  bos_token: "<s>"
  eos_token: "</s>"
  unk_token: "<unk>"