Llama 2 7B, fine-tuned on Panorama media
This repo contains the QLoRA adapter.
Prompt:
Write a hypothetical news story based on the given headline
### Title:
{prompt}
Text:
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: False
- bnb_4bit_compute_dtype: float16
Framework versions
- PEFT 0.5.0.dev0
Additional information
Thanks its5Q for dataset and help
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for lapki/Llama-2-7b-panorama-QLoRA
Base model
meta-llama/Llama-2-7b-hf