weav-geng
/

llama2-qlora-finetuned-resume-v8

Model card Files Files and versions Community

Training procedure

The following bitsandbytes quantization config was used during training:

load_in_8bit: True
load_in_4bit: False
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: fp4
bnb_4bit_use_double_quant: False
bnb_4bit_compute_dtype: float32

Framework versions

PEFT 0.5.0.dev0

Downloads last month: 4

Inference API

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Model tree for weav-geng/llama2-qlora-finetuned-resume-v8

Base model

ssaka/Llama-2-7b-chat-hf-sharded-bf16-5GB

Adapter

(3)

this model