33 posts tagged “ollama”
Ollama is a tool for downloading and running Large Language Models.
2024
Mistral Large 2 (via) The second release of a GPT-4 class open weights model in two days, after yesterday's Llama 3.1 405B.
The weights for this one are under Mistral's Research License, which "allows usage and modification for research and non-commercial usages" - so not as open as Llama 3.1. You can use it commercially via the Mistral paid API.
Mistral Large 2 is 123 billion parameters, "designed for single-node inference" (on a very expensive single-node!) and has a 128,000 token context window, the same size as Llama 3.1.
Notably, according to Mistral's own benchmarks it out-performs the much larger Llama 3.1 405B on their code and math benchmarks. They trained on a lot of code:
Following our experience with Codestral 22B and Codestral Mamba, we trained Mistral Large 2 on a very large proportion of code. Mistral Large 2 vastly outperforms the previous Mistral Large, and performs on par with leading models such as GPT-4o, Claude 3 Opus, and Llama 3 405B.
They also invested effort in tool usage, multilingual support (across English, French, German, Spanish, Italian, Portuguese, Dutch, Russian, Chinese, Japanese, Korean, Arabic, and Hindi) and reducing hallucinations:
One of the key focus areas during training was to minimize the model’s tendency to “hallucinate” or generate plausible-sounding but factually incorrect or irrelevant information. This was achieved by fine-tuning the model to be more cautious and discerning in its responses, ensuring that it provides reliable and accurate outputs.
Additionally, the new Mistral Large 2 is trained to acknowledge when it cannot find solutions or does not have sufficient information to provide a confident answer.
I went to update my llm-mistral plugin for LLM to support the new model and found that I didn't need to - that plugin already uses llm -m mistral-large to access the mistral-large-latest endpoint, and Mistral have updated that to point to the latest version of their Large model.
Ollama now have mistral-large quantized to 4 bit as a 69GB download.
Language models on the command-line
I gave a talk about accessing Large Language Models from the command-line last week as part of the Mastering LLMs: A Conference For Developers & Data Scientists six week long online conference. The talk focused on my LLM Python command-line utility and ways you can use it (and its plugins) to explore LLMs and use them for useful tasks.
[... 4,992 words]2023
Ollama (via) This tool for running LLMs on your own laptop directly includes an installer for macOS (Apple Silicon) and provides a terminal chat interface for interacting with models. They already have Llama 2 support working, with a model that downloads directly from their own registry service without need to register for an account or work your way through a waiting list.