Ollama v0.1.17stable Released Dec 19, 2023
Impact Score: 5/10

Ollama v0.1.17 โ€” Release Notes & Engineering Impact

Source available โ€” automated, not human-reviewed

Component: ollama ยท Channel: stable. Automated analysis, not a compatibility certification. How this works.

Analysis updated: 2026-11-01.

Compatibility not verified โ€” check source notes
๐Ÿ“„ .MD
โšก Executive Summary (TL;DR)

Ollama v0.1.17. Source highlight: This release adds support for the Phi-2 model by Microsoft.

Who Does This Impact? (Role-Based Analysis)

๐Ÿ’ป Software Engineers & Devs

Check the source notes against the package and APIs you use before upgrading.

๐Ÿ“Š Product & Engineering Leads

Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.

โš™๏ธ DevOps & Security

Verify the target version, runtime requirements and rollback procedure in the official documentation.

๐Ÿ”ง Bug Fixes & Patches (1)

  • Fixed issues where `message` objects in `/api/chat` would return `"images": null` in the response
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
## Phi-2 This release adds support for the [Phi-2](https://www.microsoft.com/en-us/research/blog/phi-2-the-surprising-power-of-small-language-models/) model by Microsoft. ``` ollama run phi ``` Phi-2 is a new, powerful 2.7B model with strong reasoning and language understanding capabilities comparable to larger, 13B models. Given its small size, it will run effectively on a wide set of hardware configurations. ### Example prompt By default, `phi` includes a prompt template designed for multi-turn conversations: ``` % ollama run phi >>> Hello, can you help me find my way to Toronto? Certainly! What is the exact location in Toronto that you are looking for? >>> Yonge & Bloor Sure, Yonge and Bloor is a busy intersection in downtown Toronto. Would you like to take public transportation or drive there? >>> Public transportation Great! The easiest way to get there is by taking the TTC subway. You can take Line 1, which runs along Yonge Street and passes through downtown Toronto. ``` Using Ollama's API: ``` curl http://localhost:11434/api/chat -d '{ "model": "phi", "messages": [ { "role": "user", "content": "why is the sky blue?" } ] }' ``` ### Example prompts (raw mode) Phi also responds well to a wide variety of prompt formats when using [raw mode](https://github.com/jmorganca/ollama/blob/main/docs/api.md#request-raw-mode) in Ollama's API, which bypasses all default prompt templating: #### Instruct ``` curl http://localhost:11434/api/generate -d '{ "model": "phi", "prompt": "Instruct: Write a detailed analogy between mathematics and a lighthouse.\nOutput:", "options": { "stop": ["Instruct:", "Output:"] }, "raw": true, "stream": false }' ``` #### Code Completion ``` curl http://localhost:11434/api/generate -d '{ "model": "phi", "prompt": "def print_prime(n):\n ", "raw": true, "stream": false }' ``` #### Text completion ``` curl http://localhost:11434/api/generate -d '{ "model": "phi", "prompt": "There once was a mouse named", "raw": true, "stream": false }' ``` ## New Models - [Phi-2](https://ollama.ai/library/phi): A versatile 2.7B model by Microsoft with outstanding reasoning and language understanding capabilities. - [Solar](https://ollama.ai/library/solar): A compact, yet powerful 10.7B large language model designed for single-turn conversation. - [OpenChat](https://ollama.ai/library/openchat): Updated to OpenChat-3.5-1210, this new version of the 7B model model excels at coding tasks and scores very high on many open-source LLM benchmarks. - [Wizard Math](https://ollama.ai/library/wizard-math): Updated to WizardMath v1.1, this 7B model excels at Math logic and reasoning and is now based on Mistral ## What's Changed * Fixed issues where `message` objects in `/api/chat` would return `"images": null` in the response * `/api/chat` now always returns a `message` object, even if `content` is an empty string ## New Contributors * @ianpurton made their first contribution in https://github.com/jmorganca/ollama/pull/1463 * @AugustDev made their first contribution in https://github.com/jmorganca/ollama/pull/1529 **Full Changelog**: https://github.com/jmorganca/ollama/compare/v0.1.16...v0.1.17