Ollama v0.1.42 — Release Notes & Engineering Impact
Ollama v0.1.42. Source highlight: Qwen 2: a new series of large language models from Alibaba group
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Ollama v0.1.42. Source highlight: Qwen 2: a new series of large language models from Alibaba group
Ollama v0.1.41. Source highlight: Fixed issue on Windows 10 and 11 with Intel CPUs with integrated GPUs where Ollama would encounter an error
Ollama v0.1.40. Source highlight: Codestral: Codestral is Mistral AI’s first-ever code model designed for code generation tasks.
Ollama v0.1.39. Source highlight: Cohere Aya 23: A new state-of-the-art, multilingual LLM covering 23 different languages.
Ollama v0.1.38. Source highlight: Falcon 2: A new 11B parameters causal decoder-only model built by TII and trained over 5T tokens.
Ollama v0.1.37. Source highlight: Fixed issue where models with uppercase characters in the name would not show with `ollama list`
Ollama v0.1.36. Source highlight: Fixed `exit status 0xc0000005` error with AMD graphics cards on Windows
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).
Ollama v0.1.34. Source highlight: Llava Llama 3: A new high-performing LLaVA model fine-tuned from Llama 3 Instruct.
Ollama v0.1.33. Source highlight: Llama 3: a new model by Meta, and the most capable openly available LLM to date
Ollama v0.1.32. Source highlight: WizardLM 2: State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.
Ollama v0.1.31. Source highlight: 
Ollama v0.1.30. Source highlight: Command R: a Large Language Model optimized for conversational interaction and long context tasks.
Ollama v0.1.29. Source highlight: Ollama now supports AMD graphics cards in preview on Windows and Linux. All the features are now accelerated by AMD graphics cards, and support is included by default in Ollama for Linux, Windows and Docker.
Ollama v0.1.28. Source highlight: StarCoder2: the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.
Ollama v0.1.27. Source highlight: 
Ollama v0.1.26. Source highlight: Support for `bert` and `nomic-bert` embedding models
Ollama v0.1.25. Source highlight: 
Ollama v0.1.24. Source highlight: OpenAI Compatibility
Ollama v0.1.23. Source highlight: The LLaVA model family on Ollama has been updated to version 1.6, and now includes a new `34b` version:
Ollama v0.1.22. Source highlight: Stable LM 2: A state-of-the-art 1.6B small language model.
Ollama v0.1.21. Source highlight: Qwen: Qwen is a series of large language models by Alibaba Cloud spanning from 1.8B to 72B parameters.
Ollama v0.1.20. Source highlight: MegaDolphin: A new 120B version of the Dolphin model.
Ollama v0.1.19. Source highlight: This release focuses on performance and fixing a number issues and crashes relating to memory allocation.
Ollama v0.1.18. Source highlight: TinyLlama: a compact 1.1B Llama model on 3 trillion tokens
Ollama v0.1.17. Source highlight: This release adds support for the Phi-2 model by Microsoft.
Ollama v0.1.16. Source highlight: This release adds support Mixtral and other models based on its Mixture of Experts (MoE) architecture. Note: this model requires at least 48GB of memory.
Ollama v0.1.15. Source highlight: Multimodal model support
Ollama v0.1.14. Source highlight: StableLM Zephyr: A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.
Ollama v0.1.13. Source highlight: Starling: a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.
Ollama v0.1.12. Source highlight: Yi Chat: the chat variant of the popular Yi 34b model is now available.
Ollama v0.1.11. Source highlight: Orca 2: A fine-tuned version of Meta's Llama 2 model, designed to excel particularly in reasoning.
Ollama v0.1.10. Source highlight: OpenChat: An open-source chat model trained on a wide variety of data, surpassing ChatGPT on various benchmarks.
Ollama v0.1.9. Source highlight: Yi: a high-performing, bilingual model supporting both English and Chinese.
Ollama v0.1.8. Source highlight: CodeBooga: A high-performing code instruct model created by merging two existing code models.
Ollama v0.1.7. Source highlight: Fixed an issue when running `ollama run` where certain key combinations such as Ctrl+Space would lead to an unresponsive prompt
Ollama v0.1.6. Source highlight: Dolphin 2.1 Mistral: an instruct-tuned model based on Mistral and trained on a dataset filtered to remove alignment and bias.
Ollama v0.1.5. Source highlight: Fix an issue where an error would occur when running `falcon` or `starcoder` models
Ollama v0.1.4. Source highlight: 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.
Ollama v0.1.3. Source highlight: Improved various API error messages to be easier to read
Ollama v0.1.2. Source highlight: Zephyr A fine-tuned 7B version of mistral that was trained on a mix of publicly available, synthetic datasets and performs as well as Llama 2 70B in many benchmarks
Ollama v0.1.1. Source highlight: Cancellable responses: `Ctrl+C` will now cancel responses when running `ollama run`
Ollama v0.1.0. Source highlight: Ollama for Linux is now available, with GPU acceleration enabled out-of-the-box for Nvidia GPUs.
Ollama v0.0.21. Source highlight: Fixed an issue where empty responses would be returned if `template` was provided in the api, but not `prompt`
Ollama v0.0.20. Source highlight: `ollama run` has a new & improved experience:
Ollama v0.0.19. Source highlight: Updated Docker image for Ollama `docker pull ollama/ollama`
Ollama v0.0.18. Source highlight: New `ollama show` command for viewing details about a model:
Ollama v0.0.17. Source highlight: Multiple models can be removed together: `ollama rm mario:latest orca-mini:3b`
Ollama v0.0.16. Source highlight: Ollama version can be checked by running `ollama -v` or `ollama --version`
Ollama v0.0.15. Source highlight: 📍 Ollama model list is now available