| --- |
| library_name: peft |
| license: apache-2.0 |
| datasets: |
| - lucasmccabe-lmi/CodeAlpaca-20k |
| language: |
| - en |
| tags: |
| - code |
| --- |
| # Model Card for DeciCoder 1B - CodeAlpaca20k Fine Tuned |
|
|
| This model is a fine tuned version of DeciCoder 1B (https://huggingface.co/Deci/DeciCoder-1b), fine tune for instructions based on Code Alpaca Dataset. |
|
|
| ## 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: float16 |
| |
| 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: float16 |
| ### Framework versions |
|
|
| - PEFT 0.5.0 |
|
|
| ## Citation |
| Thanks for DeciCoder-1b team for making this model open sourced. |
| ``` |
| @misc{DeciFoundationModels, |
| title = {DeciCoder}, |
| author = {DeciAI Research Team}, |
| year = {2023} |
| url={[https://huggingface.co/deci/decicoder-1b](https://huggingface.co/deci/decicoder-1b)}, |
| } |
| ``` |
