Francois-Huali-12B
6
6
—
by
Delta-Vector
Other
OTHER
12B params
New
6 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
27GB+ RAM
Mobile
Laptop
Server
Quick Summary
A finetune ontop of the orginial Francois-PE model that incorporates KTO to increase coherency and prose.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
12GB+ RAM
Code Examples
Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Axolotl configyaml
base_model: Delta-Vector_Francois-PE-12B
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto
kto_undesirable_weight: 1.0
#datasets:
# - ds_type: json
# data_files:
# - NewEden/Ohashi-accepted-Hermes-rejected
# split: train
# type: chatml.argilla
datasets:
- path: NewEden/Opus-accepted-hermes-rejected-shuffled
split: train
type: chatml.argilla
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./francois-PE-kto-r1
remove_unused_columns: false
adapter: lora
lora_model_dir:
sequence_len: 8192
pad_to_sequence_len: false
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: KTO-NeMo
wandb_entity:
wandb_watch:
wandb_name: Ohashi-accepted-hermes-rejected-r1
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: constant_with_warmup
learning_rate: 1e-6
max_grad_norm: 0.01
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: unsloth
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 25
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
weight_decay: 0.0
fsdp:
fsdp_config:Deploy This Model
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