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Baixar Ollama 0.2.0 per a Windows

Get up and running with large language models locally.

Ollama Assistents d’IA i LLM #19 Assistents d’IA i LLM
Aquesta és una versió anterior. La versió actual és la 0.40.11. Ollama 0.40.11 · Data de publicació:

Fitxers d’instal·lació 0.2.0

ArquitecturaTipusÀmbitMida del fitxerBaixaSHA256
64 bits EXE (Inno Setup) Usuari actual — github.com VirusTotal

L’enllaç i l’SHA256 provenen del manifest comunitari del Gestor de paquets del Windows. Convé comparar el hash del fitxer baixat abans d’executar-lo.

Notes de la versió

Concurrency
Ollama 0.2.0 is now available with concurrency support. This unlocks 2 specific features:
Parallel requests
Ollama can now serve multiple requests at the same time, using only a little bit of additional memory for each request. This enables use cases such as:
- Handling multiple chat sessions at the same time
- Hosting a code completion LLM for your internal team
- Processing different parts of a document simultaneously
- Running several agents at the same time.
https://github.com/ollama/ollama/assets/251292/9772a5f1-c072-41db-be6c-dd3c621aa2fd
Multiple models
Ollama now supports loading different models at the same time, dramatically improving:
- Retrieval Augmented Generation (RAG): both the embedding and text completion models can be loaded into memory simultaneously.
- Agents: multiple different agents can now run simultaneously
- Running large and small models side-by-side
Models are automatically loaded and unloaded based on requests and how much GPU memory is available.
To see which models are loaded, run ollama ps:
% ollama ps
NAME ID SIZE PROCESSOR UNTIL
gemma:2b 030ee63283b5 2.8 GB 100% GPU 4 minutes from now
all-minilm:latest 1b226e2802db 530 MB 100% GPU 4 minutes from now
llama3:latest 365c0bd3c000 6.7 GB 100% GPU 4 minutes from now
For more information on concurrency, see the FAQ
New models
- GLM-4: A strong multi-lingual general language model with competitive performance to Llama 3.
- CodeGeeX4: A versatile model for AI software development scenarios, including code completion.
- Gemma 2: Improved output quality and base text generation models now available
What's Changed
- Improved Gemma 2
- Fixed issue where model would generate invalid tokens after hitting context window
- Fixed inference output issues with gemma2:27b
- Re-downloading the model may be required: ollama pull gemma2 or ollama pull gemma2:27b
- Ollama will now show a better error if a model architecture isn't supported
- Improved handling of quotes and spaces in Modelfile FROM lines
- Ollama will now return an error if the system does not have enough memory to run a model on Linux
New Contributors
- @Muku784 made their first contribution in https://github.com/ollama/ollama/pull/5382
- @abitrolly made their first contribution in https://github.com/ollama/ollama/pull/4821
Full Changelog: https://github.com/ollama/ollama/compare/v0.1.48...v0.2.0

https://github.com/ollama/ollama/releases/tag/v0.2.0

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