LLaMA 33b finetuned on
wikitext_document_level
with a combination of both linear and NTK-aware ROPE scaling.
Trained with alpha=4, scale=2. Definitely works for sequence lengths up to and including 4096. Might work for much longer, but I don't have the VRAM to test properly. ¯\_(ツ)_/¯
Training procedure
The following
bitsandbytes
quantization config was used during training:
load_in_8bit: False
load_in_4bit: True
llm_int8_threshold: 6.0
llm_int8_skip_modules: None
llm_int8_enable_fp32_cpu_offload: False
llm_int8_has_fp16_weight: False
bnb_4bit_quant_type: nf4
bnb_4bit_use_double_quant: True
bnb_4bit_compute_dtype: bfloat16
Framework versions
PEFT 0.4.0.dev0
Runs of chargoddard llama33b-s2a4-qlora on huggingface.co
16
Total runs
-1
24-hour runs
1
3-day runs
0
7-day runs
10
30-day runs
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