Artificial Intelligence (AI) Models

Model and Use Cases

Model Name	Use Cases	Strengths	Notes
Codebooga	Programming	Python and JavaScript	1
CodeGeeX	Programming	Cross language translation, plugins for many IDEs	2
Codeqwen	Programming		3
Deepseek-R1	General	Reasoning
Dolphin-mistral	General	Uncensored, use when other models refuse answers	4
DolphinMixtral	Programming	Uncensored	5
Gemma2	General	2B good for low hardware	6
Gemma3	General, RAG	low hardware/1 GPU, context length, multilingual, multimodal
GPT-oss-20b	General, Reasoning, Agentic	Configurable reasoning
Granite	General	FOSS, SLM, 4 series low to medium hardware, multi modal
Kimi-K2-Instruct	General, Agentic	Chat, agentic
Llama3	General		7
Meditron	Medical	Medical questions, diagnosis, information
Medllama2	Medical	Medical questions, trained on open source medical data	8
MedGemma	Medical	Medical text and image comprehension	9
Mistral	General, Programming	7B ok for low hardware	10
Moondream	Vision	Small for edge devices
Nemotron-mini	Role-play, RAG, Function	4b for low hardware	11
Phi3	General, RAG	low hardware, context length
phi-4	General	low hardware, reasoning
Phi4-mini	General, RAG	low hardware, multilingual, context length
Qwen3 series	General	Multiple models depending on use
Qwen-Image	Image generation, editing	Good at text, especially Chinese
StarCoder	Programming	Trained on 80+ languages, Small to large models	12
WizardCoder	Programming		13
Zephyr	Assistant	Trained version of Mistral and Mixtral as help assistant	14

multimodal means the model can do text and image

Model and RAM Recommendations

Model Size	RAM
7B	8 GB
13B	16 GB
33B	32 GB

From Ollama README Guidance ¹⁵

Footnotes and Sources

Older Models

Model Name	Use Cases	Strengths	Notes
Qwen2.5-Instruct	General	long context tasks due to 1 million token context window
Qwen2.5	General	3b for low hardware	16
Qwen2	General, Programming	Chat, Small to Large models	17

See also

• Deepseek R1 Locally, Open-Source Ai Tools, ollama, automation, RAG - Deepseek R1 Locally, Open-Source Ai Tools, ollama, automation, RAG

Resources

• Ollama Models Library

Footnotes

1. Coding LLMs Copilot Alternatives ↩

2. Coding LLMs Copilot Alternatives ↩

3. Local LLMs on Linux with Ollama ↩

4. Local LLMs on Linux with Ollama ↩

5. Coding LLMs Copilot Alternatives ↩

6. I Ran 9 Popular LLMs on Raspberry Pi 5; Here’s What I Found ↩

7. Local LLMs on Linux with Ollama ↩

8. 5 easy ways to run an LLM locally ↩

9. MedGemma supports image understanding across radiology, pathology, dermatology, and others ↩

10. Coding LLMs Copilot Alternatives ↩

11. I Ran 9 Popular LLMs on Raspberry Pi 5; Here’s What I Found ↩

12. Tabby ML Windows Install ↩

13. Coding LLMs Copilot Alternatives ↩

14. 5 easy ways to run an LLM locally ↩

15. Ollama README Guidance on models and RAM ↩

16. I Ran 9 Popular LLMs on Raspberry Pi 5; Here’s What I Found ↩

17. Tabby ML Windows Install ↩