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axolotl/examples/glm46v/glm-4-6v-flash-qlora.yaml
VED 0343a72cc9 add glm support + patch (#3329) [skip ci]
* add glm support + patch

* lint

* lint

* Update examples/glm4/glm-4-6v-flash-qlora.yaml

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* Update examples/glm4/glm-4-6v-flash-qlora.yaml

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* Update src/axolotl/processing_strategies.py

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* patch removed

* lint

* lint2

* docs + rename

* rmv moe

* docs

* removed processor

* sdpa T_T"

* ddp_find_unused_parameters: true

* muti gpu yaml tested both

* muti gpu yaml tested both

* Update examples/glm46v/README.md

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* Update examples/glm46v/README.md

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* Update examples/glm46v/README.md

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* rmv text only section + v5 comments

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---------

Co-authored-by: Ved <ved.work2024@gmail.com>
Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
2026-02-10 17:43:53 +07:00

51 lines
895 B
YAML

base_model: zai-org/GLM-4.6V-Flash
trust_remote_code: true
processor_type: AutoProcessor
load_in_4bit: true
# these 3 lines are needed for now to handle vision chat templates w images
skip_prepare_dataset: true
remove_unused_columns: false
sample_packing: false
output_dir: ./outputs/glm-4-6v-flash-qlora
datasets:
- path: HuggingFaceH4/llava-instruct-mix-vsft
type: chat_template
split: train[:1%]
adapter: qlora
lora_r: 16
lora_alpha: 32
lora_dropout: 0.05
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
sequence_len: 2048
gradient_accumulation_steps: 4
micro_batch_size: 1
num_epochs: 1
optimizer: adamw_8bit
lr_scheduler: cosine
learning_rate: 0.0002
bf16: auto
tf32: false
gradient_checkpointing: true
logging_steps: 1
sdp_attention: true
warmup_ratio: 0.1
evals_per_epoch: 0
saves_per_epoch: 1
weight_decay: 0.0