About
Adapter train using Qlora made for LLaMa2 7b Chat. This adapter adds the ability to fully, fluently and uninterruptedly speak other languages ​​to LLaMa2.
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
- Downloads last month
- 10
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.
Model tree for lusstta/LLaMa2-Qlora-AiresAi
Base model
TinyPixel/Llama-2-7B-bf16-sharded