v0.0.15

📍 Ollama model list is now available

Ollama now supports a list of models published on 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 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 #326
• @gusanmaz made their first contribution in #340
• @bmizerany made their first contribution in #262

Full Changelog: v0.0.14...v0.0.15

v0.0.14

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 #301
• @soroushj made their first contribution in #316
• @findmyway made their first contribution in #311

Full Changelog: v0.0.13...0.0.14

v0.0.13

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
  
• 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

v0.0.12

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
• 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

v0.0.11

• 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!

v0.0.10

fix broken link in `README.md`

v0.0.9

ctrl+c on empty line exits (#135)

v0.0.8

• Fixed an issue where the ollama command line tool wouldn't correctly install

v0.0.7

• Performance improvements with ollama create: it now uses less memory and will create custom models in less time
• Fixed an issue where running ollama create name -f requires an absolute file path to the model file; relative paths are now supported
• Fixed an issue where running ollama pull for a model that is already downloaded would show 0B

v0.0.6

Early preview release