add example for falcoln support

This commit is contained in:
Wing Lian
2023-05-27 09:16:43 -04:00
parent c3d256271e
commit d5f944ce2a
2 changed files with 71 additions and 6 deletions

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## Axolotl supports
| | fp16/fp32 | fp16/fp32 w/ lora | 4bit-quant | 4bit-quant w/flash attention | flash attention | xformers attention |
|----------|:----------|:------------------|------------|------------------------------|-----------------|--------------------|
| llama | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| Pythia | ✅ | ✅ | ❌ | ❌ | ❌ | ❓ |
| cerebras | ✅ | ✅ | ❌ | ❌ | ❌ | ❓ |
| mpt | ✅ | ❌ | ❌ | ❌ | ❌ | ❓ |
| | fp16/fp32 | fp16/fp32 w/ lora | qlora | 4bit-quant | 4bit-quant w/flash attention | flash attention | xformers attention |
|---------|:----------|:------------------|------|------------|------------------------------|-----------------|--------------------|
| llama | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| Pythia | ✅ | ✅ | ❓ | ❌ | ❌ | ❌ | ❓ |
| cerebras | ✅ | ✅ | ❓ | ❌ | ❌ | ❌ | ❓ |
| mpt | ✅ | ❌ | ❓ | ❌ | ❌ | ❌ | ❓ |
| falcon | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❓ |
## Quickstart ⚡

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base_model: tiiuae/falcon-7b
base_model_config: tiiuae/falcon-7b
trust_remote_code: true
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
gptq: false
strict: false
push_dataset_to_hub:
datasets:
- path: teknium/GPT4-LLM-Cleaned
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:
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_modules:
lora_target_linear: true
lora_fan_in_fan_out:
wandb_project: falcon-7b
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./falcon-7b
batch_size: 512
micro_batch_size: 8
num_epochs: 4
optimizer: adamw_bnb_8bit
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.00003
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: 40
eval_steps: 5
save_steps: 43
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
pad_token: "<|endoftext|>"
bos_token: ">>ABSTRACT<<"
eos_token: "<|endoftext|>"