noxneural/MistralKashaloti_v0.1

Model Card for Model ID

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]

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