Llama-2-13b-hf-eli5-wiki-1024_r_64_alpha_16 – AI Model by dhmeltzer | AlphaNeural AI

You can deploy this model and start earning money today!

dhmeltzer/
Llama-2-13b-hf-eli5-wiki-1024_r_64_alpha_16

like

0

meta-llama/Llama-2-13b-hf

Views

No views yet

Training procedure

The following bitsandbytes quantization config was used during training:

quant_method: bitsandbytes
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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	47.39
ARC (25-shot)	59.98
HellaSwag (10-shot)	82.43
MMLU (5-shot)	55.41
TruthfulQA (0-shot)	39.9
Winogrande (5-shot)	76.56
GSM8K (5-shot)	10.54
DROP (3-shot)	6.89