Impact Score: 5/10
Ollama v0.1.35 — 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 v0.1.35. Source highlight: Llama 3 ChatQA: A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).
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.
✨ New Features & Capabilities (2)
- <kbd>Ctrl+J</kbd> characters will now properly add newlines in `ollama run`
- Added a new `done_reason` field in responses describing why generation stopped responding
🔧 Bug Fixes & Patches (4)
- Fixed issue where inference subprocesses wouldn't be cleaned up on shutdown.
- Fixed a series out of memory errors when loading models on multi-GPU systems
- Fixed issues when running `ollama show` for vision models
- Fixed issue where partially downloaded files wouldn't be cleaned up
📄 View Raw Release Notes (Original Developer Log)
## New models
- [Llama 3 ChatQA](https://ollama.com/library/llama3-chatqa): A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).
## What's Changed
* Quantization: `ollama create` can now quantize models when importing them using the `--quantize` or `-q` flag:
```
ollama create -f Modelfile --quantize q4_0 mymodel
```
> [!NOTE]
> `--quantize` works when importing `float16` or `float32` models:
> * From a binary GGUF files (e.g. `FROM ./model.gguf`)
> * From a library model (e.g. `FROM llama3:8b-instruct-fp16`)
* Fixed issue where inference subprocesses wouldn't be cleaned up on shutdown.
* Fixed a series out of memory errors when loading models on multi-GPU systems
* <kbd>Ctrl+J</kbd> characters will now properly add newlines in `ollama run`
* Fixed issues when running `ollama show` for vision models
* `OPTIONS` requests to the Ollama API will no longer result in errors
* Fixed issue where partially downloaded files wouldn't be cleaned up
* Added a new `done_reason` field in responses describing why generation stopped responding
* Ollama will now more accurately estimate how much memory is available on multi-GPU systems especially when running different models one after another
## New Contributors
* @fmaclen made their first contribution in https://github.com/ollama/ollama/pull/3884
* @Renset made their first contribution in https://github.com/ollama/ollama/pull/3881
* @glumia made their first contribution in https://github.com/ollama/ollama/pull/3043
* @boessu made their first contribution in https://github.com/ollama/ollama/pull/4236
* @gaardhus made their first contribution in https://github.com/ollama/ollama/pull/2307
* @svilupp made their first contribution in https://github.com/ollama/ollama/pull/2192
* @WolfTheDeveloper made their first contribution in https://github.com/ollama/ollama/pull/4300
**Full Changelog**: https://github.com/ollama/ollama/compare/v0.1.34...v0.1.35