Kasim Tinyllama LoRA v1
A LoRA fine-tuned version of TinyLlama-1.1B-Chat-v1.0 trained on a custom Alpaca-style instruction dataset.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 4,31 MB
- Modelo base
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
- Versión
- vAdapter model
- Actualizado
- 14 sept 2026
- Fuente
- Hugging Face
Descripción de la fuente
Kasim TinyLlama LoRA v1
A LoRA fine-tuned version of TinyLlama-1.1B-Chat-v1.0 trained on a custom Alpaca-style instruction dataset.
Author
Md Kasim
Base Model
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
Training Details
- Dataset: Custom Alpaca-style dataset (123 examples)
- Fine-tuning: LoRA (PEFT)
- Epochs: 3
- Learning Rate: 2e-4
- Batch Size: 2
- Max Sequence Length: 256
- GPU: NVIDIA Tesla T4
Capabilities
The model can perform basic instruction-following tasks such as:
- Question Answering
- Translation
- Summarization
- Python Code Generation
- Grammar Correction
- Mathematics
- General Knowledge
Example
Prompt
### Instruction:
What is the capital of India?
### Response:
Output
The capital of India is New Delhi.
Intended Use
This model is created for learning and experimentation with LoRA fine-tuning using Hugging Face Transformers and PEFT.
License
Apache-2.0
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 8 ago
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 library_name: peft pipeline_tag: text-generation license: apache-2.0 language: - en tags: - lora - peft - tinyllama - text-generation --- # Kasim TinyLlama LoRA v1 A LoRA fine-tuned version of **TinyLlama-1.1B-Chat-v1.0** trained on a custom Alpaca-style instruction dataset. ## Author **Md Kasim** ## Base Model - TinyLlama/TinyLlama-1.1B-Chat-v1.0 ## Training Details - Dataset: Custom Alpaca-style dataset (123 examples) - Fine-tuning: LoRA (PEFT) - Epochs: 3 - Learning Rate: 2e-4 - Batch Size: 2 - Max Sequence Length: 256 - GPU: NVIDIA Tesla T4 ## Capabilities The model can perform basic instruction-following tasks such as: - Question Answering - Translation - Summarization - Python Code Generation - Grammar Correction - Mathematics - General Knowledge ## Example **Prompt** ```text ### Instruction: What is the capital of India? ### Response: ``` **Output** ```text The capital of India is New Delhi. ``` ## Intended Use This model is created for learning and experimentation with LoRA fine-tuning using Hugging Face Transformers and PEFT. ## License Apache-2.0
Source context: 32 downloads · 1 likes · Pipeline text-generation · Library peft · Repo kkasim/kasim-tinyllama-lora-v1
