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1-parts.yml
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1-parts.yml
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src:
info: of all creation
genus:
model: Qwen/Qwen1.5-0.5B-Chat
info: it's in the DNA
precision: b16
training:
type: lora
r: 8
lora_alpha: 16
lora_dropout: 0
use_rslora: False
use_dora: False
bias: "none"
target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
- gate_proj
- up_proj
- down_proj
gradient_checkpointing: False
optimizer: Prodigy
learning_rate: 1.0
block_size: 2048
stride: 128
num_steps: 1000
warmup_steps: 10
batch_size: 1
gradient_accumulation_steps: 16
weight_decay: 0.1
gradient_clip_val: 1.0
scheduler: cosine
val_split: 0.01
val_interval: 100
generate_every: 10
save_every: 250
mind:
model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
info: use your heads
context_length: 2048
precision: b16
generation_profile: lowpenalty
training:
type: lora
r: 32
lora_alpha: 32
lora_dropout: 0
use_rslora: True
bias: "none"
target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
- gate_proj
- up_proj
- down_proj
gradient_checkpointing: True
optimizer: AdamW
learning_rate: 0.00022
block_size: 1536
stride: 128
num_steps: 100000
warmup_steps: 100
batch_size: 1
gradient_accumulation_steps: 6
weight_decay: 0.1
gradient_clip_val: 1.0
scheduler: cosine
val_split: 0.01
val_interval: 2500
generate_every: 10
save_every: 250
checkpoint_every: 250
heart:
model: RWKV/rwkv-4-430m-pile
info: with everything you got
mode: transformer
adapters:
- base
training:
name: base
datasets:
streaming:
- c4
type: lokr
alpha: 32
rank_dropout: 0.1
module_dropout: 0.1
decompose_both: True
decompose_factor: -1
target_modules:
- receptance
- value
- output
gradient_checkpointing: False
optimizer: AdamW
learning_rate: 0.000666
block_size: 512
stride: 256
num_steps: 25000
warmup_steps: 100
weight_decay: 0.01
gradient_clip_val: 1.0
scheduler: cosine
batch_size: 1
gradient_accumulation_steps: 16
val_split: 0.01
val_interval: 1000
generate_every: 25
save_every: 100
checkpoint_every: 100
soul:
model: bigscience/bloom-560m
info: because nobody has one
petals: True
training:
datasets:
streaming:
- redpajama2
generate_every: 50
save_every: 100
padding_side: left
model_max_length: 256
type: "prefix"
num_virtual_tokens: 128
learning_rate: 0.001
block_size: 256
num_steps: 33333
warmup_steps: 250
weight_decay: 0.01
gradient_clip_val: 1.23
scheduler: cosine
batch_size: 6
regen: False
wisdom:
info: of the masses
model: state-spaces/mamba-130m-hf
training:
type: lora
r: 8
lora_alpha: 16
lora_dropout: 0
use_rslora: True
use_dora: True
bias: "none"
target_modules:
# - embeddings
- in_proj
- x_proj
- dt_proj
- out_proj
gradient_checkpointing: True
optimizer: AdamW
generate_every: 100
learning_rate: 0.001
block_size: 2048
stride: 0
num_steps: 1000
warmup_steps: 10
weight_decay: 0.0001
gradient_clip_val: 1.0
scheduler: cosine
batch_size: 1
gradient_accumulation_steps: 16
val_split: 0.05
val_interval: 100
envy:
model: facebook/opt-350m
info: a simple transformer
generation_profile: lowpenalty
training:
regen: False
type: lora
r: 16
lora_alpha: 24
lora_dropout: 0.01
bias: "all"
use_rslora: False
use_dora: False
target_modules:
- q_proj
- k_proj
- v_proj
- out_proj
- fc1
- fc2
gradient_checkpointing: True
optimizer: AdamW
generate_every: 250
learning_rate: 0.001
swa_learning_rate: 0.01
block_size: 2048
stride: 256
num_steps: 10000
warmup_steps: 100
weight_decay: 0.001
gradient_clip_val: 1.0
scheduler: cosine
batch_size: 1
gradient_accumulation_steps: 27
val_split: 0.05
val_interval: 10000
chaos:
model: EleutherAI/pythia-410m-deduped-v0
info: a monstrosity
generation_profile: chaotic
precision: 32
training:
precision: 16
type: lora
r: 64
lora_alpha: 16
lora_dropout: 0.1
use_rslora: True
use_dora: True
bias: "all"
target_modules:
- query_key_value
- dense
- dense_h_to_4h
- dense_4h_to_h
- embed_out
gradient_checkpointing: True
optimizer: Prodigy
learning_rate: 1.0
weight_decay: 0.001
safeguard_warmup: True
bias_correction: True
block_size: 1024
stride: 0
num_steps: 20000
warmup_steps: 100
gradient_clip_val: 1.0
scheduler: cosine
batch_size: 1
gradient_accumulation_steps: 16
val_split: 0.001
val_interval: 1000
generate_every: 10
save_every: 100
checkpoint_every: 100
datasets:
streaming:
- instruct
malice:
model: cerebras/Cerebras-GPT-111M
info: a GPT-2 clone
generation_profile: lowpenalty
training:
type: lora
pain:
model: HuggingFaceTB/SmolLM-360M-Instruct
info: a derelict herd
precision: 32
generation_profile: predictable
token_map:
bos_token: 0
eos_token: 0
training:
precision: b16
type: lora
r: 64
lora_alpha: 12
lora_dropout: 0.1
use_rslora: True
use_dora: True
bias: "none"
init_lora_weights: olora
target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
- up_proj
- gate_proj
- down_proj
gradient_checkpointing: True
optimizer: Lion
scheduler: cosine
learning_rate: 0.0001
weight_decay: 0.001
use_gc: True
adanorm: True
block_size: 512
stride: 0
num_steps: 40000
warmup_steps: 10
gradient_clip_val: 1.0
batch_size: 1
gradient_accumulation_steps: 16
val_split: 0.01
val_interval: 2500
generate_every: 25
save_every: 500
checkpoint_every: 500
datasets:
streaming:
- instruct
rot:
model: apple/OpenELM-270M-Instruct
info: in the core
precision: 32
tokenizer: "NousResearch/Llama-2-7b-hf"
training:
type: lora
r: 64
lora_alpha: 12
lora_dropout: 0.1
use_rslora: True
use_dora: True
bias: "none"
target_modules:
- qkv_proj
- out_proj
- proj_1
- proj_2
tokenizer: "NousResearch/Llama-2-7b-hf"
gradient_checkpointing: True
optimizer: Lion
scheduler: cosine
learning_rate: 0.0001
weight_decay: 0.001
block_size: 512
stride: 0
num_steps: 40000
warmup_steps: 0
batch_size: 1
gradient_accumulation_steps: 16
gradient_clip_val: 1.0
val_split: 0.01
val_interval: 2500
generate_every: 25
save_every: 500
checkpoint_every: 500
sick:
model: UNSAFE/Mixtress-135M
info: and tired
generation_profile: predictable
training:
type: standard
gradient_checkpointing: True
optimizer: GrokFastAdamW
scheduler: cosine
learning_rate: 0.001
weight_decay: 0.1
block_size: 768
stride: 0
num_steps: 2000
warmup_steps: 200
grokfast_after_step: 100
batch_size: 1
gradient_accumulation_steps: 16
gradient_clip_val: 1.0
val_split: 0.01
val_interval: 250
generate_every: 25
save_every: 500
toe:
info: nailed to the foot
model: EleutherAI/gpt-neo-125M
training:
type: "loha"