Downloads · 30 days
10
20% of all-time downloads
MistralKashaloti_v0.1
noxneural/MistralKashaloti_v0.1
MistralKashaloti_v0.1 is a machine learning model from noxneural. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
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.
All-time downloads
49
Public
Repo size
8 GB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.bin8 GB · 100%
At a glance
- Library
- peft
- License
- mit
- Model type
- mistral
- Access
- Public
- Created
- Oct 22, 2023
- Updated
- Oct 23, 2023
- SHA
- e9c917a3
Base models
Datasets
Model card
From the Hugging Face model README
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
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
- Library
- peft
- Type
- mistral
- License
- mit
- Languages
- sq
- Created
- Oct 22, 2023
- Updated
- Oct 23, 2023