Ollama

ollama/ollama last check 268 releases recent
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Release notes
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0.1.4 · 1y+

New models

  • 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.

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 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 on how we can make it better.

New Contributors

Full Changelog: https://github.com/jmorganca/ollama/compare/v0.1.3...v0.1.4