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Paul Gauthier 2024-11-24 14:55:02 -08:00
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aider/website/_posts/2024-11-21-quantization.md
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@ -25,8 +25,8 @@ served both locally and from cloud providers.
- The [HuggingFace BF16 weights](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) served via [glhf.chat](https://glhf.chat).
- [4bit and 8bit quants for mlx](https://t.co/cwX3DYX35D).
- The results from [OpenRouter's mix of providers](https://openrouter.ai/qwen/qwen-2.5-coder-32b-instruct/providers) which serve the model with different levels of quantization.
- Results from individual providers served via OpenRouter and directly to their own APIs.
- Ollama locally serving different quantizations from the [Ollama model library](https://ollama.com/library/qwen2.5-coder:32b-instruct-q4_K_M).
- Other API providers.
The best version of the model rivals GPT-4o, while the worst performer
is more like the older GPT-4 Turbo.