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Kasim Tinyllama LoRA v1

A LoRA fine-tuned version of TinyLlama-1.1B-Chat-v1.0 trained on a custom Alpaca-style instruction dataset.

ArtOtherBasismodellTinyLlama/TinyLlama-1.1B-Chat-v1.0VersionAdapter modelBBewertung

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
Hugging FacePrimärVersion 2980f3cae4e9666a2eb317f5da61c60907ea48e3
huggingface.co/kkasim/kasim-tinyllama-lora-v1/tree/2980f3cae4e9666a2eb317f5da61c60907ea48e3

Verifiziert 8. Aug.

Modellartefakte

1 Artefakt

adapter_model.safetensors

safetensors · 4,31 MB · SHA-256 2245c414fe9e…6dbc · Hugging Face

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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