---
library_name: peft
base_model: Open-Orca/Mistral-7B-SlimOrca
license: mit
datasets:
- noxneural/kashaloti
language:
- sq
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->



## Model Details

Version 1 of 71, qLora finetune of the Mistral-7B model using 1/71 of the GPT4 based part of the Orca Dataset, using approx ~14k records from a total of 1 million records. 


### Model Description

- **Developed by:** Marlind Maksuti @ StochastX
- **Model type:** Mistral-7B
- **Language(s) (NLP):** Albanian, Shqip
- **Finetuned from model:** Mistral-7B-SlimOrca 

### Model Sources


- **Repository:** https://huggingface.co/Open-Orca/Mistral-7B-SlimOrca


## Uses

Text generation in Albanian. 

## Bias, Risks, and Limitations

Model is just version v0.1, outputs are still not optimal. 



#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->



## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: QuantizationMethod.BITS_AND_BYTES
- 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: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: float16

### Framework versions


- PEFT 0.6.0.dev0
## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: QuantizationMethod.BITS_AND_BYTES
- 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: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: float16

### Framework versions


- PEFT 0.6.0.dev0