What are the hardware requirements for Databricks Dolly 15K Sinhala?

Databricks Dolly 15K Sinhala requires approximately 13.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Databricks Dolly 15K Sinhala and how large is it?

Databricks Dolly 15K Sinhala is developed by Suchinthana, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Databricks Dolly 15K Sinhala?

Databricks Dolly 15K Sinhala is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Databricks Dolly 15K Sinhala by Suchinthana — VRAM 13.5GB, 2K context

Name: Databricks Dolly 15K Sinhala
Author: Suchinthana

Databricks Dolly 15K Sinhala is an open-source language model by Suchinthana. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, License: llama2, Instruction-Based, LLM Explorer Score: 0.08.

Dataset:suchinthana/databricks... En Endpoints compatible Instruct Llama Pytorch Region:us Safetensors Sharded Si Tensorflow

Model Card on HF 🤗: https://huggingface.co/Suchinthana/databricks-dolly-15k-sinhala

Databricks Dolly 15K Sinhala Parameters and Internals

Supported Languages

si (Sinhala), en (English)

Training Details

Data Sources:

Suchinthana/databricks-dolly-15k-sinhala

Data Volume:

3000 datapoints, 200 steps (~1.01 epochs)

Methodology:

Fine-tuning

LLM Name	Databricks Dolly 15K Sinhala
Repository 🤗	https://huggingface.co/Suchinthana/databricks-dolly-15k-sinhala
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-05
Maintainer	Suchinthana
Model Type	llama
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-7 2.0 GB: 2-of-7 2.0 GB: 3-of-7 2.0 GB: 4-of-7 1.9 GB: 5-of-7 1.9 GB: 6-of-7 1.7 GB: 7-of-7 2.0 GB: 1-of-7 2.0 GB: 2-of-7 2.0 GB: 3-of-7 2.0 GB: 4-of-7 1.9 GB: 5-of-7 1.9 GB: 6-of-7 1.7 GB: 7-of-7
Supported Languages	si en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Databricks Dolly 15K Sinhala capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than Suchinthana/databricks-dolly-15k-sinhala.