# dolphin-cyber-arabic-merged by Khaled hamdan: Open Model
Source: https://savrn.com/models/dolphin-cyber-arabic-merged
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

---

## Runs On

What it takes to serve dolphin-cyber-arabic-merged (7.6B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
| --- | --- | --- | --- | --- | --- |
| 16-bit | 15.2 GB | 18.3 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 8-bit | 7.6 GB | 9.1 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 4-bit | 3.8 GB | 4.6 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the [SAVRN Index](https://savrn.com/ai-index/pricing/gpus), read Oct 7, 2026.

[dolphin-cyber-arabic-merged on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/dolphin-cyber-arabic-merged/gpus)

## Model Card

This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Excerpt from the card by Khaled hamdan.

## Configuration

Architecture

Qwen2ForCausalLM

Context length (tokens)

32,768

Layers

28

Hidden size

3,584

Feed-forward size

18,944

Attention heads

28

Key/value heads

4

Vocabulary size

152,064

Model type

qwen2

## Identity and Version

Repository

Koko12345p/dolphin-cyber-arabic-merged

Publisher

Khaled hamdan

Task

Text generation

Modality

Text

Library

transformers

Parameters

7.6B parameters

Languages

Not stated by the source

Revision

97473c558f2476063c48134809c20ce13b362829

First published

2026-09-19

Last updated

2026-09-21

## Files and Weights

8 files, 15.2 GB in total. The weights are 1 file totalling 15.2 GB in safetensors.

Weights1 file · 15.2 GB

Configuration2 files · 1.7 KB

Tokenizer2 files · 11.4 MB

Documentation1 file · 5.2 KB

Other1 file · 2.6 KB

Repository1 file · 1.6 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| model.safetensors | Weights | 15.2 GB | e9d69bd97312 |
| config.json | Configuration | 1.4 KB | — |
| generation_config.json | Configuration | 257 B | — |
| README.md | Documentation | 5.2 KB | — |
| chat_template.jinja | Other | 2.6 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 11.4 MB | 3fd169731d2c |
| tokenizer_config.json | Tokenizer | 724 B | — |

## License and Download

License

Not stated by the source

Access

Open weights, no gate

Download size

15.2 GB

[Download from Khaled hamdan](https://huggingface.co/Koko12345p/dolphin-cyber-arabic-merged)

Released by Khaled hamdan through its official repository on Hugging Face.

## Built From

- Described by [arXiv:1910.09700](https://savrn.com/papers/quantifying-the-carbon-emissions-of-machine-learning)

## Memory Requirements

| Precision | Weights in memory |
| --- | --- |
| As published | 15.2 GB |
| 16-bit | 15.2 GB |
| 8-bit | 7.6 GB |
| 4-bit | 3.8 GB |

Weights only, from the published parameter count; the key-value cache and runtime add to this.

## Questions About dolphin-cyber-arabic-merged

### How much GPU memory does dolphin-cyber-arabic-merged need?

About 18.3 GB at 16-bit and 4.6 GB at 4-bit: the weights (7.6B parameters) plus a working margin. A long context needs more.

### What is the cheapest GPU to run dolphin-cyber-arabic-merged on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

### What is dolphin-cyber-arabic-merged's context length?

32,768 tokens, from the maximum position embeddings in its published configuration.

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## Khaled hamdan

[All models and datasets](https://savrn.com/model-publishers/koko12345p)

## Versions

- [97473c558f24](https://savrn.com/models/dolphin-cyber-arabic-merged/versions/97473c558f24) · current 2026-09-21

## Explore More

- [All text generation models](https://savrn.com/models/tasks/text-generation)
- [Model comparisons](https://savrn.com/models/comparisons)
- [The model directory](https://savrn.com/models)
- [Open model prices by host](https://savrn.com/ai-index/pricing/open-models)

## Source

- Repository metadata, read 2026-09-21.
- [Hugging Face record](https://huggingface.co/Koko12345p/dolphin-cyber-arabic-merged)
- [How the hub is built](https://savrn.com/model-hub/methodology)
