Ollama

What's Changed
* Ollama version can be checked by running `ollama -v` or `ollama --version`
* Support for 34B models such as `codellama`
* Model names or paths with`https://` in front of them will now work when running `ollama run`

New Contributors
* rlbaker made their first contribution in https://github.com/jmorganca/ollama/pull/377. Also thanks to jesjess243 for opening a PR to fix this

**Full Changelog**: https://github.com/jmorganca/ollama/compare/v0.0.15...v0.0.16

<a href="https://ollama.ai/library"><img src="https://github.com/jmorganca/ollama/assets/3325447/6bcf210d-3cf5-42cd-84ae-f0e29d82ec49" alt="an image of ollama sitting in front of shelves with many books depicting a library of models that are available for download" width="50%"></a>

📍 Ollama model list is now available

Ollama now supports a list of models published on [ollama.ai/library](https://ollama.ai/library). We are working on ways to allow anyone to push models to Ollama. Expect more news on this in the future.

Please join the community on [Discord](https://discord.com/invite/ollama) if you have any questions/concerns/ want to hang out.

What's Changed
* Target remote Ollama hosts with `OLLAMA_HOST=<host> ollama run llama2`
* Fixed issue where `PARAMETER` values weren't correctly in Modelfiles
* Fixed issue where a warning would show when parsing a Modelfile comment
* Ollama will now parse data from ggml format models and use them to make sure your system has enough memory to run a model with GPU support
* Experimental support for creating fine-tuned models via `ollama create` with Modelfiles: use the `ADAPTER` Modelfile instruction
* Added documentation for the `num_gqa` parameter
* Added tutorials and examples for using LangChain with Ollama
* Ollama will now log embedding eval timing
* Update llama.cpp to the latest version
* Add `context` to api documentation for `/api/generate`
* Fixed issue with resuming downloads via `ollama pull`
* Using `EMBED` in Modelfiles will now skip regenerating embeddings if the input files have not changed
* Ollama will now use an already loaded model for `/api/embeddings` if it is available
* New example: `dockerit` – a tool to help you build and run your application in a Docker container
* Retry download on network errors

New Contributors
* asarturas made their first contribution in https://github.com/jmorganca/ollama/pull/326
* gusanmaz made their first contribution in https://github.com/jmorganca/ollama/pull/340
* bmizerany made their first contribution in https://github.com/jmorganca/ollama/pull/262

**Full Changelog**: https://github.com/jmorganca/ollama/compare/v0.0.14...v0.0.15


What's Changed

* **Ollama 🦜️🔗 LangChain Integration!** https://python.langchain.com/docs/integrations/llms/ollama
* API docs for Ollama: https://github.com/jmorganca/ollama/blob/main/docs/api.md
* Llama 2 **70B model with Metal support** (Recommend at least 64GB of memory) `ollama run llama2:70b`
* **Uncensored Llama 2 70B** model with Metal support `ollama run llama2-uncensored:70b`
* New models available! For a list of models you can directly pull from Ollama, please see https://gist.github.com/mchiang0610/b959e3c189ec1e948e4f6a1f737a1fc5
* Embeddings can now be generated for a model with `/api/embeddings`
* Experimental `EMBED` instruction in the Modelfile
* Configurable rope frequency parameters
* `OLLAMA_HOST` can now specify the entire address to serve on with `ollama serve`
* Fixed issue where context was truncated incorrectly leading to poor output
* `ollama pull` can now be run in different terminal windows for the same model concurrently
* Add an example on multiline input
* Fixed error not being checked on `ollama pull`

New Contributors
* cmiller01 made their first contribution in https://github.com/jmorganca/ollama/pull/301
* soroushj made their first contribution in https://github.com/jmorganca/ollama/pull/316
* findmyway made their first contribution in https://github.com/jmorganca/ollama/pull/311

**Full Changelog**: https://github.com/jmorganca/ollama/compare/v0.0.13...0.0.14

New improvements
* Using Ollama CLI without Ollama running will now start Ollama
* Changed the buffer limit so that conversations would continue until it is complete
* Models now stay loaded in memory automatically between messages, so series of prompts are extra fast!
* The white fluffy Ollama icon is back when using dark mode
<img width="463" alt="Screenshot 2023-08-03 at 4 30 02 PM" src="https://github.com/jmorganca/ollama/assets/251292/7b673cd0-9dd8-4de3-bcea-2b1097a0f6d2">
* Ollama will now run on Intel Macs. Compatibility & performance improvements to come
* When running `ollama run`, the `/show` command can be used to inspect the current model
* `ollama run` can now take in multi-line strings:

% ollama run llama2
>>> """
Is this a
multi-line
string?
"""
Thank you for asking! Yes, the input you provided is a multi-line string. It contains multiple lines of text separated by line breaks.

* More seamless updates: Ollama will now show a subtle hint that an update is ready in the tray menu, instead of a dialog window
* `ollama run --verbose` will now show load duration times


Bug fixes
* Fixed crashes on Macs with 8GB of shared memory
* Fixed issues in scanning multi-line strings in a `Modelfile`

New improvements
* You can now rename models you've pulled or created with `ollama cp`
* Added support for running k-quant models
* Performance improvements from enabling [Accelerate](https://developer.apple.com/documentation/accelerate)
* Ollama's API can now be accessed by websites hosted on `localhost`
* `ollama create` will now automatically pull models in the `FROM` instruction you don't have locally

Bug fixes
* `ollama pull` will now show a better error when pulling a model that doesn't exist
* Fixed an issue where cancelling and resuming downloads with `ollama pull` would cause an error
* Fixed formatting of different errors so they are readable when running `ollama` commands
* Fixed an issue where prompt templates defined with the `TEMPLATE` instruction wouldn't be parsed correctly
* Fixed error when a model isn't found

* `ollama list`: stay organized: see which models you have and their size


% ollama list
NAME SIZE MODIFIED
llama2:13b 7.3 GB 28 hours ago
llama2:latest 3.8 GB 4 hours ago
orca:latest 1.9 GB 35 minutes ago
vicuna:latest 3.8 GB 35 minutes ago


* `ollama rm`: have a model you don't want anymore? Delete it with `ollama rm`
* `ollama pull` will now check the integrity of the model you've downloaded against it's checksum
* Errors will now correctly print, instead of showing another error
* Performance updates: run models faster!