Kasim Tinyllama LoRA v1
A LoRA fine-tuned version of TinyLlama-1.1B-Chat-v1.0 trained on a custom Alpaca-style instruction dataset.
Modellquelle
- Art
- Other
- Dateigröße
- 4,31 MB
- Basismodell
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
- Version
- vAdapter model
- Aktualisiert
- 14. Sept. 2026
- Quelle
- Hugging Face
Quellenbeschreibung
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
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 8. Aug.
Modellartefakte
1 Artefakt
Modellartefakte
1 Artefaktadapter_model.safetensors
safetensors · 4,31 MB · SHA-256 2245c414fe9e…6dbc · Hugging Face
HerunterladenQuellenauszüge
2 Auszüge
Quellenauszüge
2 Auszüge--- 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
