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Model: cortexso/deepscaler
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---
license: mit
pipeline_tag: text-generation
tags:
- cortex.cpp
---
## Overview
Deepscaler is an advanced AI model developed from the agentica-org's DeepScaleR-1.5B-Preview, designed to enhance the efficiency and scalability of various machine learning tasks. Its core purpose is to provide high-quality predictive analytics and data processing capabilities while optimizing resource usage. Deepscaler is particularly useful in scenarios such as natural language processing, computer vision, and more complex data interpretation tasks, making it suitable for applications in industries like finance, healthcare, and entertainment. Users can leverage its performance to achieve faster training times and improved accuracy in their models. Overall, Deepscaler's architecture allows it to deliver robust results with reduced computational overhead, making it an excellent choice for developers and organizations aiming to scale their AI solutions.
## Variants
| No | Variant | Cortex CLI command |
| --- | --- | --- |
| 1 | [Deepscaler-1.5b](https://huggingface.co/cortexso/deepscaler/tree/1.5b) | cortex run deepscaler:1.5b |
## Use it with Jan (UI)
1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
2. Use in Jan model Hub:
```bash
cortexso/deepscaler
```
## Use it with Cortex (CLI)
1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
2. Run the model with command:
```bash
cortex run deepscaler
```
## Credits
- **Author:** agentica-org
- **Converter:** [Homebrew](https://www.homebrew.ltd/)
- **Original License:** [LICENSE](https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview/blob/main/LICENSE)

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version: 1
name: deepscaler
default: 1.5b
author: "agentica-org"

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# BEGIN GENERAL GGUF METADATA
id: deepscaler
model: deepscaler
name: deepscaler
version: 1
# END GENERAL GGUF METADATA
# BEGIN INFERENCE PARAMETERS
# BEGIN REQUIRED
stop:
- <|im_end|>
# END REQUIRED
# BEGIN OPTIONAL
stream: true
top_p: 0.9
temperature: 0.7
frequency_penalty: 0
presence_penalty: 0
max_tokens: 4096
seed: -1
dynatemp_range: 0
dynatemp_exponent: 1
top_k: 40
min_p: 0.05
tfs_z: 1
typ_p: 1
repeat_last_n: 64
repeat_penalty: 1
mirostat: false
mirostat_tau: 5
mirostat_eta: 0.100000001
penalize_nl: false
ignore_eos: false
n_probs: 0
min_keep: 0
# END OPTIONAL
# END INFERENCE PARAMETERS
# BEGIN MODEL LOAD PARAMETERS
# BEGIN REQUIRED
engine: llama-cpp
prompt_template: |
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
ctx_len: 4096
ngl: 34
# END REQUIRED
# END MODEL LOAD PARAMETERS