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lora-hyperparameter-benchmark-v1

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256
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7 values
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7 values
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3 values
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4 values
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0
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2 values
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1
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6 values
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ax-llama3.2-1b-lora
Llama-3.2-1B
1
full
16
32
32
stated
0.05
0.05
stated
0.0002
1
2
2
2048
true
stated
54568
GPT4-LLM-Cleaned
axolotl examples/llama-3/lora-1b.yml (dataset_samples=54568: no max_samples in YAML -> full dataset used; HF datasets-server confirms 54568 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/llama-3/lora-1b.yml
ax-llama3-8b-qlora
Meta-Llama-3-8B
8
4bit
32
16
16
stated
0.05
0.05
stated
0.0002
4
2
4
4096
true
stated
500
alpaca_subset_1 (aaditya)
axolotl examples/llama-3/qlora.yml (dataset_samples=500: no max_samples in YAML -> full dataset used; HF datasets-server confirms 500 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/llama-3/qlora.yml
ax-llama3-8b-lora
Meta-Llama-3-8B
8
8bit
32
16
16
stated
0.05
0.05
stated
0.0002
4
2
4
4096
true
stated
2000
alpaca_2k_test
axolotl examples/llama-3/lora-8b.yml
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/llama-3/lora-8b.yml
ax-llama3-8b-instruct-lora
Meta-Llama-3-8B-Instruct
8
8bit
32
16
16
stated
0.05
0.05
stated
0.0002
4
2
4
4096
true
stated
2000
alpaca_messages_2k_test
axolotl examples/llama-3/instruct-lora-8b.yml
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/llama-3/instruct-lora-8b.yml
ax-llama3.2-1b-qlora
Llama-3.2-1B
1
4bit
32
16
16
stated
0.05
0.05
stated
0.0002
1
2
4
2048
true
stated
54568
GPT4-LLM-Cleaned
axolotl examples/llama-3/qlora-1b.yml (dataset_samples=54568: no max_samples in YAML -> full dataset used; HF datasets-server confirms 54568 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/llama-3/qlora-1b.yml
ax-llama3-70b-qlora
Llama-3-70B
70
4bit
8
16
16
stated
0.05
0.05
stated
0.00001
4
1
4
512
true
stated
52002
tatsu-lab/alpaca
axolotl examples/llama-3/qlora-fsdp-70b.yaml (dataset_samples=52002: no max_samples in YAML -> full dataset used; HF datasets-server confirms 52002 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/llama-3/qlora-fsdp-70b.yaml
ax-llama2-7b-lora
Llama-2-7B
7
8bit
32
16
16
stated
0.05
0.05
stated
0.0002
4
2
4
4096
true
stated
2000
alpaca_2k_test
axolotl examples/llama-2/lora.yml
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/llama-2/lora.yml
ax-llama2-7b-qlora
Llama-2-7B
7
4bit
32
16
16
stated
0.05
0.05
stated
0.0002
4
2
4
4096
true
stated
2000
alpaca_2k_test
axolotl examples/llama-2/qlora.yml
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/llama-2/qlora.yml
ax-mistral-7b-lora
Mistral-7B-v0.1
7
8bit
32
16
16
stated
0.05
0.05
stated
0.0002
1
2
4
8192
true
stated
2000
alpaca_2k_test
axolotl examples/mistral/lora.yml
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/mistral/lora.yml
ax-mistral-7b-qlora
Mistral-7B-v0.1
7
4bit
32
16
16
stated
0.05
0.05
stated
0.0002
1
2
4
8192
true
stated
2000
alpaca_2k_test
axolotl examples/mistral/qlora.yml
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/mistral/qlora.yml
ax-gemma2-9b-qlora
gemma-2-9b
9
4bit
32
16
16
stated
0.05
0.05
stated
0.0002
4
1
4
2048
true
stated
181745
SlimOrcaDedupCleaned
axolotl examples/gemma2/qlora.yml (dataset_samples=181745: no max_samples in YAML -> full dataset used; HF datasets-server confirms 181745 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/gemma2/qlora.yml
ax-phi3.5-mini-lora
Phi-3.5-mini-instruct
3.8
8bit
32
16
16
stated
0.05
0.05
stated
0.0002
2
4
4
4096
true
stated
2000
alpaca_messages_2k_test
axolotl examples/phi/lora-3.5.yaml
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/phi/lora-3.5.yaml
ax-qwen3-8b-lora
Qwen3-8B
8
full
32
64
64
stated
0.0
0
stated
0.0002
1
1
4
4096
true
stated
52002
tatsu-lab/alpaca
axolotl examples/qwen3/8b-lora-fused-attn.yaml (dataset_samples=52002: no max_samples in YAML -> full dataset used; HF datasets-server confirms 52002 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/qwen3/8b-lora-fused-attn.yaml
ax-qwen3-32b-qlora
Qwen3-32B
32
4bit
16
32
32
stated
NR
0
default: PEFT/framework (0.0)
0.0002
1
1
2
2048
offload
stated
20000
FineTome-100k (train[:20%])
axolotl examples/qwen3/32b-qlora.yaml (v0.9.2; dataset_samples=20000: FineTome-100k name states 100k rows, confirmed exact by HF metadata; YAML states split: train[:20%] -> 100000*0.20=20000)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/qwen3/32b-qlora.yaml
ax-qwen2-7b-qlora
Qwen2-7B
7
4bit
32
64
64
stated
0.05
0.05
stated
0.0002
4
1
4
2048
true
stated
52002
tatsu-lab/alpaca
axolotl examples/qwen2/qlora-fsdp.yaml (dataset_samples=52002: no max_samples in YAML -> full dataset used; HF datasets-server confirms 52002 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/qwen2/qlora-fsdp.yaml
ax-deepseek-v2.5-qlora
DeepSeek-V2.5
236
4bit
256
256
256
stated
NR
0
default: PEFT/framework (0.0)
0.00002
1
8
1
4096
true
stated
20000
FineTome-100k (train[:20%])
axolotl examples/deepseek-v2/qlora-fsdp-2_5.yaml (dataset_samples=20000: FineTome-100k name states 100k rows, confirmed exact by HF metadata; YAML states split: train[:20%] -> 100000*0.20=20000)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/deepseek-v2/qlora-fsdp-2_5.yaml
ax-gemma3-270m-qlora
gemma-3-270m-it
0.27
4bit
32
16
16
stated
0.0
0
stated
0.0002
1
1
4
2048
true
stated
181745
SlimOrcaDedupCleaned
axolotl examples/gemma3/gemma-3-270m-qlora.yml (dataset_samples=181745: no max_samples in YAML -> full dataset used; HF datasets-server confirms 181745 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/gemma3/gemma-3-270m-qlora.yml
ax-gemma3-1b-qlora
gemma-3-1b-it
1
4bit
32
16
16
stated
0.0
0
stated
0.0002
4
1
4
2048
true
stated
181745
SlimOrcaDedupCleaned
axolotl examples/gemma3/gemma-3-1b-qlora.yml (dataset_samples=181745: no max_samples in YAML -> full dataset used; HF datasets-server confirms 181745 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/gemma3/gemma-3-1b-qlora.yml
ax-gemma3-4b-qlora
gemma-3-4b-it
4
4bit
32
16
16
stated
0.0
0
stated
0.0002
1
2
4
2048
true
stated
181745
SlimOrcaDedupCleaned
axolotl examples/gemma3/gemma-3-4b-qlora.yml (dataset_samples=181745: no max_samples in YAML -> full dataset used; HF datasets-server confirms 181745 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/gemma3/gemma-3-4b-qlora.yml
ax-mixtral-8x7b-qlora
Mixtral-8x7B-v0.1
46.7
4bit
32
16
16
stated
0.05
0.05
stated
0.0002
1
2
4
1024
true
stated
52002
tatsu-lab/alpaca
axolotl examples/mistral/mistral-qlora-fsdp.yml (dataset_samples=52002: no max_samples in YAML -> full dataset used; HF datasets-server confirms 52002 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/mistral/mistral-qlora-fsdp.yml
ax-qwen3-8b-qlora
Qwen3-8B
8
4bit
32
64
64
stated
0.05
0.05
stated
0.0002
1
1
4
2048
true
stated
52002
tatsu-lab/alpaca
axolotl examples/qwen3/qlora-fsdp.yaml (dataset_samples=52002: no max_samples in YAML -> full dataset used; HF datasets-server confirms 52002 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/qwen3/qlora-fsdp.yaml
ax-llama3.1-405b-qlora
Llama-3.1-405B
405
4bit
16
16
16
stated
0.05
0.05
stated
0.00001
2
1
4
2048
true
stated
52002
tatsu-lab/alpaca
axolotl examples/llama-3/qlora-fsdp-405b.yaml (dataset_samples=52002: no max_samples in YAML -> full dataset used; HF datasets-server confirms 52002 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/llama-3/qlora-fsdp-405b.yaml
ax-phi3-mini-lora
Phi-3-mini-4k-instruct
3.8
full
64
32
32
stated
0.05
0.05
stated
0.000005
1
2
1
4096
true
stated
24926
Open-Platypus
axolotl examples/phi/phi3-ft.yml (adapter: lora; dataset_samples=24926: no max_samples in YAML -> full dataset used; HF datasets-server confirms 24926 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/phi/phi3-ft.yml
ax-cohere-command-r7b-qlora
c4ai-command-r7b
7
4bit
32
16
16
stated
0.05
0.05
stated
0.0002
4
1
4
2048
true
stated
181745
SlimOrcaDedupCleaned
axolotl examples/cohere/command-r-7b-qlora.yml (dataset_samples=181745: no max_samples in YAML -> full dataset used; HF datasets-server confirms 181745 train rows)
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/cohere/command-r-7b-qlora.yml
ax-olmo3-7b-qlora
Olmo-3-7B-Instruct-SFT
7
4bit
32
16
16
stated
0.05
0.05
stated
0.0002
1
2
2
2048
true
stated
2000
alpaca_messages_2k_test
axolotl examples/olmo3/olmo3-7b-qlora.yaml
https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/olmo3/olmo3-7b-qlora.yaml
lf-llama3-8b-awq
Meta-Llama-3-8B-Instruct-AWQ
8
awq-4bit
8
NR
16
default: LLaMA-Factory (2×rank)
NR
0
default: PEFT/framework (0.0)
0.0001
3
1
8
2048
true
default: LLaMA-Factory (disable_gradient_checkpointing=False)
1000
identity+alpaca_en_demo
LLaMA-Factory examples/train_qlora/llama3_lora_sft_awq.yaml (max_samples: 1000 stated)
https://github.com/hiyouga/LLaMA-Factory/blob/main/examples/train_qlora/llama3_lora_sft_awq.yaml
lf-llama3-8b-gptq
Meta-Llama-3-8B-Instruct-GPTQ
8
gptq-4bit
8
NR
16
default: LLaMA-Factory (2×rank)
NR
0
default: PEFT/framework (0.0)
0.0001
3
1
8
2048
true
default: LLaMA-Factory (disable_gradient_checkpointing=False)
1000
identity+alpaca_en_demo
LLaMA-Factory examples/train_qlora/llama3_lora_sft_gptq.yaml (max_samples: 1000 stated)
https://github.com/hiyouga/LLaMA-Factory/blob/main/examples/train_qlora/llama3_lora_sft_gptq.yaml
lf-llama3-8b-aqlm
Meta-Llama-3-8B-Instruct-AQLM
8
aqlm-2bit
8
NR
16
default: LLaMA-Factory (2×rank)
NR
0
default: PEFT/framework (0.0)
0.0001
3
1
8
2048
true
default: LLaMA-Factory (disable_gradient_checkpointing=False)
1000
identity+alpaca_en_demo
LLaMA-Factory examples/train_qlora/llama3_lora_sft_aqlm.yaml (max_samples: 1000 stated)
https://github.com/hiyouga/LLaMA-Factory/blob/main/examples/train_qlora/llama3_lora_sft_aqlm.yaml
lf-qwen3-4b-lora
Qwen3-4B-Instruct-2507
4
full
8
NR
16
default: LLaMA-Factory (2×rank)
NR
0
default: PEFT/framework (0.0)
0.0001
3
1
8
2048
true
default: LLaMA-Factory (disable_gradient_checkpointing=False)
1000
identity+alpaca_en_demo
LLaMA-Factory examples/train_lora/qwen3_lora_sft.yaml (max_samples: 1000 stated)
https://github.com/hiyouga/LLaMA-Factory/blob/main/examples/train_lora/qwen3_lora_sft.yaml
lf-qwen3-4b-qlora
Qwen3-4B-Instruct-2507
4
4bit
8
NR
16
default: LLaMA-Factory (2×rank)
NR
0
default: PEFT/framework (0.0)
0.0001
3
1
8
2048
true
default: LLaMA-Factory (disable_gradient_checkpointing=False)
1000
identity+alpaca_en_demo
LLaMA-Factory examples/train_qlora/qwen3_lora_sft_otfq.yaml (max_samples: 1000 stated)
https://github.com/hiyouga/LLaMA-Factory/blob/main/examples/train_qlora/qwen3_lora_sft_otfq.yaml
lf-llama3-8b-qlora
Meta-Llama-3-8B-Instruct
8
4bit
8
NR
16
default: LLaMA-Factory (2×rank)
NR
0
default: PEFT/framework (0.0)
0.0001
3
1
8
2048
true
default: LLaMA-Factory (disable_gradient_checkpointing=False)
1000
identity+alpaca_en_demo
LLaMA-Factory examples/train_qlora/llama3_lora_sft_bnb_npu.yaml (v0.9.3; max_samples: 1000 stated)
https://github.com/hiyouga/LLaMA-Factory/blob/v0.9.3/examples/train_qlora/llama3_lora_sft_bnb_npu.yaml
trl-qwen2-0.5b
Qwen2-0.5B
0.5
full
32
16
16
stated
0.05
0.05
stated
0.0002
1
2
8
1024
true
default: TRL SFTConfig (gradient_checkpointing=True by default)
NR
trl-lib/Capybara
HF TRL peft_integration docs (seq_len=1024: TRL SFTConfig documents max_length default as 1024; CLI example omits --max_seq_length so framework default applies)
https://huggingface.co/docs/trl/peft_integration
unsloth-default
Generic (Unsloth guide)
NR
4bit
16
16
16
stated
0.0
0
stated
0.0002
null
2
8
NR
unsloth
stated
NR
NR
Unsloth LoRA hyperparameters guide (r=16, alpha=16, dropout=0 verbatim; lr 2e-4 + bs2/ga8 from recommendations; epochs stated only as a 1-3 range -> NR)
https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide
paper-gpt2-e2e
GPT-2 M
0.355
full
4
32
32
stated
0.1
0.1
stated
0.0002
5
8
NR
NR
NR
not_applicable_paper
42000
E2E (~42K train)
Hu et al. 2021 Table 11 + Appendix E (dropout = table 'Dropout Prob', not LoRA-specific)
https://arxiv.org/pdf/2106.09685
paper-gpt2-webnlg
GPT-2 M
0.355
full
4
32
32
stated
0.1
0.1
stated
0.0002
5
8
NR
NR
NR
not_applicable_paper
22000
WebNLG (22K total)
Hu et al. 2021 Table 11 + Appendix E (dropout = table 'Dropout Prob', not LoRA-specific)
https://arxiv.org/pdf/2106.09685
paper-gpt2-dart
GPT-2 M
0.355
full
4
32
32
stated
0.0
0
stated
0.0002
5
8
NR
NR
NR
not_applicable_paper
82000
DART (82K total)
Hu et al. 2021 Table 11 + Appendix E (dropout = table 'Dropout Prob', not LoRA-specific)
https://arxiv.org/pdf/2106.09685
paper-gpt3-wikisql-4.7m
GPT-3
175
full
2
NR
NR
not_reported
NR
0
default: PEFT/framework (0.0)
0.0002
2
128
NR
384
NR
not_applicable_paper
56355
WikiSQL (56,355 train)
Hu et al. 2021 Table 12 (4.7M budget; alpha not stated; seq len 384 per Sec. D.4)
https://arxiv.org/pdf/2106.09685
paper-gpt3-wikisql-37.7m
GPT-3
175
full
8
NR
NR
not_reported
NR
0
default: PEFT/framework (0.0)
0.0002
2
128
NR
384
NR
not_applicable_paper
56355
WikiSQL (56,355 train)
Hu et al. 2021 Table 12 (37.7M budget; alpha not stated; seq len 384 per Sec. D.4)
https://arxiv.org/pdf/2106.09685
paper-gpt3-mnli
GPT-3
175
full
8
NR
NR
not_reported
NR
0
default: PEFT/framework (0.0)
0.0002
2
128
NR
768
NR
not_applicable_paper
392702
MultiNLI
Hu et al. 2021 Table 12 (alpha not stated; seq len 768 per Sec. D.4); MNLI train count is standard GLUE
https://arxiv.org/pdf/2106.09685
paper-biderman-7b-code-r16
Llama-2-7B
7
full
16
32
32
stated
0.05
0.05
stated
0.0002
2
6
NR
4096
NR
not_reported
110000
code
Biderman et al. 2024 Table 1 + Appendix A (seq len: code 4096, math 1024; epochs=2 is one point of the {1,2,4,8,16} duration sweep)
https://arxiv.org/pdf/2405.09673
paper-biderman-7b-code-r64
Llama-2-7B
7
full
64
128
128
stated
0.05
0.05
stated
0.0002
2
6
NR
4096
NR
not_reported
110000
code
Biderman et al. 2024 Table 1 + Appendix A (seq len: code 4096, math 1024; epochs=2 is one point of the {1,2,4,8,16} duration sweep)
https://arxiv.org/pdf/2405.09673
paper-biderman-7b-code-r256
Llama-2-7B
7
full
256
512
512
stated
0.05
0.05
stated
0.0001
2
6
NR
4096
NR
not_reported
110000
code
Biderman et al. 2024 Table 1 + Appendix A (seq len: code 4096, math 1024; epochs=2 is one point of the {1,2,4,8,16} duration sweep)
https://arxiv.org/pdf/2405.09673
paper-biderman-7b-math-r16
Llama-2-7B
7
full
16
32
32
stated
0.05
0.05
stated
0.0001
2
24
NR
1024
NR
not_reported
395000
math
Biderman et al. 2024 Table 1 + Appendix A (seq len: code 4096, math 1024; epochs=2 is one point of the {1,2,4,8,16} duration sweep)
https://arxiv.org/pdf/2405.09673
paper-biderman-7b-math-r64
Llama-2-7B
7
full
64
128
128
stated
0.05
0.05
stated
0.0001
2
24
NR
1024
NR
not_reported
395000
math
Biderman et al. 2024 Table 1 + Appendix A (seq len: code 4096, math 1024; epochs=2 is one point of the {1,2,4,8,16} duration sweep)
https://arxiv.org/pdf/2405.09673
paper-biderman-7b-math-r256
Llama-2-7B
7
full
256
512
512
stated
0.05
0.05
stated
0.00005
2
24
NR
1024
NR
not_reported
395000
math
Biderman et al. 2024 Table 1 + Appendix A (seq len: code 4096, math 1024; epochs=2 is one point of the {1,2,4,8,16} duration sweep)
https://arxiv.org/pdf/2405.09673
paper-alpaca-lora-7b
LLaMA-7B
7
full
8
16
16
stated
0.05
0.05
stated
0.0003
3
4
32
256
false
default: disabled (TrainingArguments default=False, not set in finetune.py)
NR
yahma/alpaca-cleaned (default data_path)
Alpaca-LoRA finetune.py defaults (cutoff_len=256 stated; base LLaMA-7B per README; sample count not stated)
https://github.com/tloen/alpaca-lora/blob/main/finetune.py
paper-vanilla2026-qwen3-0.6b
Qwen3-0.6B
0.6
full
128
128
128
stated
0.0
0
stated
0.0002
1
64
NR
512
NR
not_reported
100000
MetaMathQA (100k subsample)
vanilla-LoRA 2026 Table 7 (peak 49.60 at lr 2.00e-4, B=64, r=128; alpha=r, 1 epoch, no dropout per Table 5)
https://arxiv.org/html/2602.04998
paper-vanilla2026-gemma-3-1b
Gemma-3-1B
1.0
full
128
128
128
stated
0.0
0
stated
0.000632
1
64
NR
512
NR
not_reported
100000
MetaMathQA (100k subsample)
vanilla-LoRA 2026 Table 8 (peak 20.46 at lr 6.32e-4, B=64, r=128; alpha=r, 1 epoch, no dropout)
https://arxiv.org/html/2602.04998
paper-vanilla2026-llama-2-7b
Llama-2-7B
7
full
128
128
128
stated
0.0
0
stated
0.0002
1
16
NR
512
NR
not_reported
100000
MetaMathQA (100k subsample)
vanilla-LoRA 2026 Table 11 (peak 35.91 at lr 2.00e-4, B=16, r=128; alpha=r, 1 epoch, no dropout)
https://arxiv.org/html/2602.04998
paper-vanilla2026-llama-2-13b
Llama-2-13B
13
full
128
128
128
stated
0.0
0
stated
0.0002
1
64
NR
512
NR
not_reported
100000
MetaMathQA (100k subsample)
vanilla-LoRA 2026 Figure 7b (peak 42.23 at lr=2e-4, B=64, r=128; LR read from graph — x-axis uses fixed log grid so peak is unambiguous; alpha=r, 1 epoch, no dropout)
https://arxiv.org/html/2602.04998
README.md exists but content is empty.
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