Coder Social home page Coder Social logo

Comments (5)

extending avatar extending commented on May 23, 2024

pip 23.2.1 from /opt/homebrew/lib/python3.11/site-packages/pip (python 3.11)

same question

image

from open-interpreter.

TanmayDoesAI avatar TanmayDoesAI commented on May 23, 2024

Could you one of these two things?

  • Trying to install llama-cpp-python seperately, I have personally faced a lot of issues earlier installing. so could be one of those, use pip install llama-cpp-python , (the usual error we have is it would ask you to install c++ build tools I think,)
  • Creating a seperate environment and trying to install it again just in case there is some conflict within the packages

I am not very sure, but maybe these steps could help

from open-interpreter.

Bobpick avatar Bobpick commented on May 23, 2024

I got the C++ error, so I'm install all 19 GB of the Visual Studio stuff.
Also installing on my linux box, and after install, it can't find "interpreter".

from open-interpreter.

Bobpick avatar Bobpick commented on May 23, 2024

I downloaded all of the CPP stuff, and reinstalled the llama-python. This is my terminal info:
PS C:\Users\15702> pip install llama-cpp-python Collecting llama-cpp-python Using cached llama_cpp_python-0.1.83.tar.gz (1.8 MB) Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Collecting typing-extensions>=4.5.0 (from llama-cpp-python) Obtaining dependency information for typing-extensions>=4.5.0 from https://files.pythonhosted.org/packages/ec/6b/63cc3df74987c36fe26157ee12e09e8f9db4de771e0f3404263117e75b95/typing_extensions-4.7.1-py3-none-any.whl.metadata Using cached typing_extensions-4.7.1-py3-none-any.whl.metadata (3.1 kB) Collecting numpy>=1.20.0 (from llama-cpp-python) Obtaining dependency information for numpy>=1.20.0 from https://files.pythonhosted.org/packages/b7/db/4d37359e2c9cf8bf071c08b8a6f7374648a5ab2e76e2e22e3b808f81d507/numpy-1.25.2-cp310-cp310-win_amd64.whl.metadata Using cached numpy-1.25.2-cp310-cp310-win_amd64.whl.metadata (5.7 kB) Collecting diskcache>=5.6.1 (from llama-cpp-python) Obtaining dependency information for diskcache>=5.6.1 from https://files.pythonhosted.org/packages/3f/27/4570e78fc0bf5ea0ca45eb1de3818a23787af9b390c0b0a0033a1b8236f9/diskcache-5.6.3-py3-none-any.whl.metadata Using cached diskcache-5.6.3-py3-none-any.whl.metadata (20 kB) Using cached diskcache-5.6.3-py3-none-any.whl (45 kB) Using cached numpy-1.25.2-cp310-cp310-win_amd64.whl (15.6 MB) Using cached typing_extensions-4.7.1-py3-none-any.whl (33 kB) Building wheels for collected packages: llama-cpp-python Building wheel for llama-cpp-python (pyproject.toml) ... done Created wheel for llama-cpp-python: filename=llama_cpp_python-0.1.83-cp310-cp310-win_amd64.whl size=1641494 sha256=976a07263f0e0b93c2d00ce826774d551cae0be8757b07adcaac62039619beca Stored in directory: c:\users\15702\appdata\local\pip\cache\wheels\3f\39\6f\3e75230ce84bb465df194bca6c0c7b936dc4b0b3c83389688d Successfully built llama-cpp-python Installing collected packages: typing-extensions, numpy, diskcache, llama-cpp-python Successfully installed diskcache-5.6.3 llama-cpp-python-0.1.83 numpy-1.25.2 typing-extensions-4.7.1

But, when I run it:
`PS C:\Users\15702> interpreter --local

Open Interpreter will use Code Llama for local execution. Use your arrow keys to set up the model.

[?] Parameter count (smaller is faster, larger is more capable): 7B

7B
16B
34B

[?] Quality (lower is faster, higher is more capable): Low | Size: 3.01 GB, RAM usage: 5.51 GB

Low | Size: 3.01 GB, RAM usage: 5.51 GB
Medium | Size: 4.24 GB, RAM usage: 6.74 GB
High | Size: 7.16 GB, RAM usage: 9.66 GB

[?] Use GPU? (Large models might crash on GPU, but will run more quickly) (Y/n): N

[?] Code-Llama interface package not found. Install llama-cpp-python? (Y/n): Y

Fatal Python error: _Py_HashRandomization_Init: failed to get random numbers to initialize Python
Python runtime state: preinitialized

Error during installation with OpenBLAS: Command
'['C:\Users\15702\AppData\Local\Programs\Python\Python310\python.exe', '-m', 'pip', 'install',
'llama-cpp-python']' returned non-zero exit status 1.

Failed to install Code-LLama.

We have likely not built the proper Code-Llama support for your system.

(Running language models locally is a difficult task! If you have insight into the best way to implement this across
platforms/architectures, please join the Open Interpreter community Discord and consider contributing the project's
development.)

Please press enter to switch to GPT-4 (recommended).`

So it's acting like there was no llama-cpp-python installed.

from open-interpreter.

jordanbtucker avatar jordanbtucker commented on May 23, 2024

This is now a duplicate of #167. If you still need help, please leave a comment on that issue.

from open-interpreter.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.