In this article, I'll introduce how to run GPT4ALL on Google Colab.
GPT4All
Open-source large language models that run locally on your CPU and nearly any GPU
🦜️🔗 Official Langchain Backend
GPT4All is made possible by our compute partner Paperspace
Run on an M1 macOS Device (not sped up!)
GPT4All: An ecosystem of open-source on-edge large language models.
Important
GPT4All v2.5.0 and newer only supports models in GGUF format (.gguf). Models used with a previous version of GPT4All (.bin extension) will no longer work.
GPT4All is an ecosystem to run powerful and customized large language models that work locally on consumer grade CPUs and any GPU. Note that your CPU needs to support AVX or AVX2 instructions.
Learn more in the documentation.
A GPT4All model is a 3GB - 8GB file that you can download and plug into the GPT4All open-source ecosystem software. Nomic AI supports and maintains this software ecosystem to…
- Clone the repo
- Download
pt4all-lora-quantized.bin - Run gpt4all-lora-quantized-linux-x86
main: seed = 1681043249
llama_model_load: loading model from 'gpt4all-lora-quantized.bin' - please wait ...
llama_model_load: ggml ctx size = 6065.35 MB
llama_model_load: memory_size = 2048.00 MB, n_mem = 65536
llama_model_load: loading model part 1/1 from 'gpt4all-lora-quantized.bin'
llama_model_load: .................................... done
llama_model_load: model size = 4017.27 MB / num tensors = 291
system_info: n_threads = 2 / 2 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 |
main: interactive mode on.
sampling parameters: temp = 0.100000, top_k = 40, top_p = 0.950000, repeat_last_n = 64, repeat_penalty = 1.300000
== Running in chat mode. ==
- Press Ctrl+C to interject at any time.
- Press Return to return control to LLaMA.
- If you want to submit another line, end your input in '\'.
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clone the repo
!git clone https://github.com/nomic-ai/gpt4all.git
Download the model
This step will take some time so maybe mounting Google Drive would be a better way for this step.
cd gpt4all/chat
!wget https://the-eye.eu/public/AI/models/nomic-ai/gpt4all/gpt4all-lora-quantized.bin
Run the program
!./gpt4all-lora-quantized-linux-x86
You need to click the stop button to stop the program
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