jan-hq commited on
Commit
3aa8f4a
·
verified ·
1 Parent(s): 638fd65

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +4 -4
README.md CHANGED
@@ -2,22 +2,22 @@
2
  license: mit
3
  ---
4
  ## Overview
5
- Mistral-Small-24B is a lightweight and efficient AI model designed for natural language processing tasks, leveraging the foundational architecture of Mistral-Small-24B-Base-2501. Its primary purpose is to deliver fast and accurate text generation, comprehension, and interaction capabilities across various applications. Ideal use cases include chatbots, content creation, summarization, and language translation, making it suitable for both personal and enterprise-level solutions. With its smaller size, Mistral-Small-24B provides a balance between performance and resource efficiency, allowing implementation on devices with limited computational power. This model has demonstrated strong performance metrics, ensuring quality outputs and responsiveness comparable to larger models, while maintaining reduced latency and operational costs.
6
  ## Variants
7
  | No | Variant | Cortex CLI command |
8
  | --- | --- | --- |
9
- | 1 | [gguf](https://huggingface.co/cortexso/mistral-small-24b-base-2501/tree/main) | cortex run mistral-small-24b |
10
  ## Use it with Jan (UI)
11
  1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
12
  2. Use in Jan model Hub:
13
 
14
- cortexso/mistral-small-24b
15
 
16
  ## Use it with Cortex (CLI)
17
  1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
18
  2. Run the model with command:
19
 
20
- cortex run mistral-small-24b
21
 
22
  ## Credits
23
  - **Author:** mistralai
 
2
  license: mit
3
  ---
4
  ## Overview
5
+ The 'mistral-small-24b' model is an advanced AI language model optimized for a variety of natural language processing tasks. It is particularly well-suited for applications such as text generation, chatbots, content summarization, and language translation. Built on the foundation of 'mistralai/Mistral-Small-24B-Base-2501', it leverages state-of-the-art techniques for understanding and generating human-like text. Users can expect significant improvements in fluency and contextual relevance, making it effective for both professional and creative use cases. Its efficiency allows for deployment in resource-constrained environments, catering to a diverse range of industries and applications.
6
  ## Variants
7
  | No | Variant | Cortex CLI command |
8
  | --- | --- | --- |
9
+ | 1 | [gguf](https://huggingface.co/cortexso/mistral-small-24b-base-2501/tree/main) | cortex run mistral-small-24b-base-2501 |
10
  ## Use it with Jan (UI)
11
  1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
12
  2. Use in Jan model Hub:
13
 
14
+ cortexso/mistral-small-24b-base-2501
15
 
16
  ## Use it with Cortex (CLI)
17
  1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
18
  2. Run the model with command:
19
 
20
+ cortex run mistral-small-24b-base-2501
21
 
22
  ## Credits
23
  - **Author:** mistralai