Instructions to use tatts/Falcotuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tatts/Falcotuned with PEFT:
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- Notebooks
- Google Colab
- Kaggle
Falcon 7B Tatts Merged Model
Model Description
This model is a merged version of Falcon 7B with LoRA weights, designed for causal language modeling and text generation tasks.
Training procedure
The following bitsandbytes quantization config was used during training:
load_in_8bit: Falseload_in_4bit: Truellm_int8_threshold: 6.0llm_int8_skip_modules: Nonellm_int8_enable_fp32_cpu_offload: Falsellm_int8_has_fp16_weight: Falsebnb_4bit_quant_type: nf4bnb_4bit_use_double_quant: Falsebnb_4bit_compute_dtype: float16
Framework versions
- PEFT 0.4.0
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