Sponsored by
PostMcpAi
Lambent / Fabled-Gemma4-31B-Adapter
Model's Last Updated: April 11 2026
text-generation
Introduction of Fabled-Gemma4-31B-Adapter
Model Details of Fabled-Gemma4-31B-Adapter
See axolotl config
axolotl version:
0.16.0.dev0
base_model: google/gemma-4-31B-it
# plugins:
# - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
# - axolotl.integrations.liger.LigerPlugin
# torch_compile: true
# liger_layer_norm: true
# liger_rope: true
# liger_rms_norm: true
# liger_glu_activation: true
# liger_rms_norm_gated: true
strict: false
chat_template: gemma4
eot_tokens:
- "<turn|>"
datasets:
- path: Lambent/fable-conversations-memory-gemma-8k
type: chat_template
split: train
- path: Lambent/fable-distilled-memory-gemma-8k
type: chat_template
split: train
output_dir: ./outputs/fabled-gemma4-31b-qlora-blackwell
sequence_len: 9216
sample_packing: true
train_on_inputs: true
load_in_4bit: true
adapter: qlora
lora_r: 256
lora_alpha: 256
lora_dropout: 0
# Restrict LoRA to text backbone only (skip vision/audio encoders)
lora_target_modules: 'model.language_model.layers.[\d]+.(_checkpoint_wrapped_module.)?(mlp|self_attn).(up|down|gate|q|k|v|o)_proj'
lora_mlp_kernel: false
lora_qkv_kernel: false
lora_o_kernel: false
bnb_config_kwargs:
bnb_4bit_use_double_quant: true
wandb_project: fabled
wandb_entity:
wandb_watch:
wandb_name: gemma4-31b-qlora-blackwell-sdpa
wandb_log_model:
gradient_accumulation_steps: 1
micro_batch_size: 1
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 1e-6
bf16: auto
tf32: true
gradient_checkpointing: true
logging_steps: 1
sdp_attention: true
warmup_ratio: 0.1
saves_per_epoch: 4
weight_decay: 0.0
special_tokens:
outputs/fabled-gemma4-31b-qlora-blackwell
This model is a fine-tuned version of google/gemma-4-31B-it on the Lambent/fable-conversations-memory-gemma-8k and the Lambent/fable-distilled-memory-gemma-8k datasets.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 244
- training_steps: 2445
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.5.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
Runs of Lambent Fabled-Gemma4-31B-Adapter on huggingface.co
9
Total runs
0
24-hour runs
-1
3-day runs
2
7-day runs
4
30-day runs
More Information About Fabled-Gemma4-31B-Adapter huggingface.co Model
Url of Fabled-Gemma4-31B-Adapter
Fabled-Gemma4-31B-Adapter huggingface.co Url
Provider of Fabled-Gemma4-31B-Adapter huggingface.co
Other API from Lambent
Total runs:
129
Run Growth:
-269
Growth Rate:
-203.79%
Total runs:
123
Run Growth:
94
Growth Rate:
76.42%
Total runs:
59
Run Growth:
39
Growth Rate:
81.25%
Total runs:
45
Run Growth:
-1
Growth Rate:
-2.17%
Total runs:
30
Run Growth:
4
Growth Rate:
13.33%
Total runs:
30
Run Growth:
30
Growth Rate:
100.00%
Total runs:
30
Run Growth:
13
Growth Rate:
43.33%
Total runs:
26
Run Growth:
11
Growth Rate:
45.83%
Total runs:
23
Run Growth:
0
Growth Rate:
0.00%
Total runs:
18
Run Growth:
-10
Growth Rate:
-55.56%
Total runs:
17
Run Growth:
-10
Growth Rate:
-66.67%
Total runs:
16
Run Growth:
8
Growth Rate:
50.00%
Total runs:
14
Run Growth:
4
Growth Rate:
26.67%
Total runs:
14
Run Growth:
0
Growth Rate:
0.00%
Total runs:
14
Run Growth:
-2
Growth Rate:
-14.29%
Total runs:
13
Run Growth:
6
Growth Rate:
46.15%
Total runs:
13
Run Growth:
1
Growth Rate:
7.69%
Total runs:
13
Run Growth:
6
Growth Rate:
46.15%
Total runs:
13
Run Growth:
3
Growth Rate:
23.08%
Total runs:
12
Run Growth:
7
Growth Rate:
58.33%
Total runs:
12
Run Growth:
4
Growth Rate:
33.33%
Total runs:
12
Run Growth:
6
Growth Rate:
50.00%
Total runs:
12
Run Growth:
3
Growth Rate:
21.43%
Total runs:
12
Run Growth:
6
Growth Rate:
50.00%
Total runs:
12
Run Growth:
4
Growth Rate:
33.33%
Total runs:
11
Run Growth:
-11
Growth Rate:
-122.22%
Total runs:
11
Run Growth:
1
Growth Rate:
9.09%
Total runs:
11
Run Growth:
3
Growth Rate:
27.27%
Total runs:
10
Run Growth:
0
Growth Rate:
0.00%
Total runs:
10
Run Growth:
3
Growth Rate:
30.00%
Total runs:
10
Run Growth:
4
Growth Rate:
44.44%
Total runs:
10
Run Growth:
-26
Growth Rate:
-260.00%
Total runs:
10
Run Growth:
6
Growth Rate:
60.00%
Total runs:
10
Run Growth:
9
Growth Rate:
90.00%
Total runs:
10
Run Growth:
6
Growth Rate:
60.00%
Total runs:
9
Run Growth:
2
Growth Rate:
25.00%
Total runs:
9
Run Growth:
-15
Growth Rate:
-166.67%
Total runs:
9
Run Growth:
0
Growth Rate:
0.00%
Total runs:
9
Run Growth:
3
Growth Rate:
33.33%
Total runs:
8
Run Growth:
-3
Growth Rate:
-50.00%
Total runs:
8
Run Growth:
1
Growth Rate:
12.50%
Total runs:
8
Run Growth:
4
Growth Rate:
50.00%
Total runs:
8
Run Growth:
-2
Growth Rate:
-25.00%
Total runs:
8
Run Growth:
5
Growth Rate:
62.50%
Total runs:
7
Run Growth:
5
Growth Rate:
71.43%
Total runs:
7
Run Growth:
1
Growth Rate:
14.29%
Total runs:
7
Run Growth:
1
Growth Rate:
14.29%
Total runs:
7
Run Growth:
1
Growth Rate:
14.29%
Total runs:
7
Run Growth:
-2
Growth Rate:
-28.57%
Total runs:
7
Run Growth:
4
Growth Rate:
57.14%
Total runs:
6
Run Growth:
-7
Growth Rate:
-116.67%
Total runs:
6
Run Growth:
0
Growth Rate:
0.00%
Total runs:
6
Run Growth:
5
Growth Rate:
83.33%
Total runs:
6
Run Growth:
-5
Growth Rate:
-83.33%
Total runs:
6
Run Growth:
-2
Growth Rate:
-33.33%
Total runs:
6
Run Growth:
-4
Growth Rate:
-66.67%
Total runs:
5
Run Growth:
-5
Growth Rate:
-100.00%
Total runs:
5
Run Growth:
3
Growth Rate:
60.00%
Total runs:
5
Run Growth:
-3
Growth Rate:
-60.00%