Impact Score: 5/10
Ollama v0.3.7 — 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 v0.3.7. Source highlight: Hermes 3: Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research, which includes support for tool calling.
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.
⚡ Performance & Enhancements (3)
- Phi 3.5: A lightweight AI model with 3.8 billion parameters with performance overtaking similarly and larger sized models.
- CUDA 12 support: improving performance by up to 10% on newer NVIDIA GPUs
- Improved performance of `ollama pull` and `ollama push` on slower connections
🔧 Bug Fixes & Patches (1)
- Fixed issue where setting `OLLAMA_NUM_PARALLEL` would cause models to be reloaded on lower VRAM systems
📄 View Raw Release Notes (Original Developer Log)
## New Models
* [Hermes 3](https://ollama.com/library/hermes3): Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research, which includes support for tool calling.
* [Phi 3.5](https://ollama.com/library/phi3.5): A lightweight AI model with 3.8 billion parameters with performance overtaking similarly and larger sized models.
* [SmolLM](https://ollama.com/library/smollm): A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset.
## What's Changed
* CUDA 12 support: improving performance by up to 10% on newer NVIDIA GPUs
* Improved performance of `ollama pull` and `ollama push` on slower connections
* Fixed issue where setting `OLLAMA_NUM_PARALLEL` would cause models to be reloaded on lower VRAM systems
* Ollama on Linux is now distributed as a `tar.gz` file, which contains the `ollama` binary along with required libraries.
## New Contributors
* @pamelafox made their first contribution in https://github.com/ollama/ollama/pull/6345
* @eust-w made their first contribution in https://github.com/ollama/ollama/pull/5964
**Full Changelog**: https://github.com/ollama/ollama/compare/v0.3.6...v0.3.7