Impact Score: 5/10
Ollama v0.1.4 — Release Notes & Engineering Impact
Source available — automated, not human-reviewed
Component: ollama · Channel: stable. Automated analysis, not a compatibility certification. How this works.
Analysis updated: 2026-11-01.
⚡ Executive Summary (TL;DR)
Ollama v0.1.4. Source highlight: OpenHermes 2 Mistral: a new fine-tuned model based on Mistral, trained on open datasets totalling over 900,000 instructions. This model has strong multi-turn chat skills, surpassing previous Hermes 13B models and even matching 70B models on some benchmarks.
Who Does This Impact? (Role-Based Analysis)
💻 Software Engineers & Devs
Check the source notes against the package and APIs you use before upgrading.
📊 Product & Engineering Leads
Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.
⚙️ DevOps & Security
Verify the target version, runtime requirements and rollback procedure in the official documentation.
🔧 Bug Fixes & Patches (6)
- Fixed an issue where Ollama on Linux would use CPU instead of using both the CPU and GPU for GPUs with less memory
- Fixed architecture check in Linux install script
- Fixed issue where leading whitespaces would be returned in responses
- Fixed issue where `ollama show` would show an empty `SYSTEM` prompt (instead of omitting it)
- Fixed issue with the `/api/tags` endpoint would return `null` instead of `[]` if no models were found
- Fixed an issue where `ollama show` wouldn't work when connecting remotely by using `OLLAMA_HOST`
📄 View Raw Release Notes (Original Developer Log)
## New models
* [OpenHermes 2 Mistral](https://ollama.ai/library/openhermes2-mistral): a new fine-tuned model based on Mistral, trained on open datasets totalling over 900,000 instructions. This model has strong multi-turn chat skills, surpassing previous Hermes 13B models and even matching 70B models on some benchmarks.
## What's Changed
* Faster model switching: models will now stay loaded between requests when using different parameters (e.g. `temperature`) or system prompts
* `starcoder`, `sqlcoder` and `falcon` models now have unicode support. Note: they will need to be re-pulled (e.g. `ollama pull starcoder`)
* New documentation guide on [importing existing models](https://github.com/jmorganca/ollama/blob/main/docs/import.md) to Ollama (GGUF, PyTorch, etc)
* `ollama serve` will now print the current version of Ollama on start
* `ollama run` will now show more descriptive errors when encountering runtime issues (such as insufficient memory)
* Fixed an issue where Ollama on Linux would use CPU instead of using both the CPU and GPU for GPUs with less memory
* Fixed architecture check in Linux install script
* Fixed issue where leading whitespaces would be returned in responses
* Fixed issue where `ollama show` would show an empty `SYSTEM` prompt (instead of omitting it)
* Fixed issue with the `/api/tags` endpoint would return `null` instead of `[]` if no models were found
* Fixed an issue where `ollama show` wouldn't work when connecting remotely by using `OLLAMA_HOST`
* Fixed issue where GPU/Metal would be used on macOS even with `num_gpu` set to `0`
* Fixed issue where certain characters would be escaped in responses
* Fixed `ollama serve` logs to report the proper amount of GPU memory (VRAM) being used
Note: the `EMBED` keyword in `Modelfile` is being revisited until a future version of Ollama. Join [the discussion](https://github.com/jmorganca/ollama/issues/834) on how we can make it better.
## New Contributors
* @vieux made their first contribution in https://github.com/jmorganca/ollama/pull/810
* @s-kostyaev made their first contribution in https://github.com/jmorganca/ollama/pull/801
* @ggozad made their first contribution in https://github.com/jmorganca/ollama/pull/794
* @awaescher made their first contribution in https://github.com/jmorganca/ollama/pull/811
* @deichbewohner made their first contribution in https://github.com/jmorganca/ollama/pull/799
**Full Changelog**: https://github.com/jmorganca/ollama/compare/v0.1.3...v0.1.4