Git Product home page Git Product logo

Comments (6)

mathpopo avatar mathpopo commented on May 14, 2024 1

@KillianLucas is like that?

can you speak english?

yes, I can.

Can you write C++ code?

yes, I can.

Can you write a bubble algorithm?

yes, I can.

from open-interpreter.

mathpopo avatar mathpopo commented on May 14, 2024

[?] 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

from open-interpreter.

hotwa avatar hotwa commented on May 14, 2024

I meet same question

from open-interpreter.

KillianLucas avatar KillianLucas commented on May 14, 2024

Hey @hotwa and @mathpopo! I've been seeing this across several systems. We're going to change interface packages for CodeLlama in the next week or so, and hopefully that should solve this problem. I'll keep you updated. In the meantime, this works for some users:

pip install --force-reinstall --upgrade llama-cpp-python

Let me know if the GPU gets used after rebuilding llama-cpp-python like that. Thanks!

from open-interpreter.

mathpopo avatar mathpopo commented on May 14, 2024

@KillianLucas sorry , cannot work
2023-09-06 15-31-39 的屏幕截图

(base) chenxin@chenxin-Nitro-AN515-52:$ conda activate open-interpreter
(open-interpreter) chenxin@chenxin-Nitro-AN515-52:
$ pip install --force-reinstall --upgrade llama-cpp-python
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting llama-cpp-python
Downloading llama_cpp_python-0.1.83.tar.gz (1.8 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.8/1.8 MB 935.3 kB/s eta 0:00:00
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
Downloading 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/32/6a/65dbc57a89078af9ff8bfcd4c0761a50172d90192eaeb1b6f56e5fbf1c3d/numpy-1.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
Downloading numpy-1.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.6 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
Downloading diskcache-5.6.3-py3-none-any.whl.metadata (20 kB)
Downloading diskcache-5.6.3-py3-none-any.whl (45 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 45.5/45.5 kB 1.6 MB/s eta 0:00:00
Downloading numpy-1.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 1.2 MB/s eta 0:00:00
Downloading 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-cp311-cp311-linux_x86_64.whl size=413883 sha256=54697e6f41cc6048446d5f80e174a933487d406e5fb75302d4d55dc65bfe5426
Stored in directory: /tmp/pip-ephem-wheel-cache-l9dvavp4/wheels/25/d2/5b/9f3c919284f260835ba686d041a70e06ae7c35adc62493188e
Successfully built llama-cpp-python
Installing collected packages: typing-extensions, numpy, diskcache, llama-cpp-python
Attempting uninstall: typing-extensions
Found existing installation: typing_extensions 4.7.1
Uninstalling typing_extensions-4.7.1:
Successfully uninstalled typing_extensions-4.7.1
Attempting uninstall: numpy
Found existing installation: numpy 1.25.2
Uninstalling numpy-1.25.2:
Successfully uninstalled numpy-1.25.2
Attempting uninstall: diskcache
Found existing installation: diskcache 5.6.3
Uninstalling diskcache-5.6.3:
Successfully uninstalled diskcache-5.6.3
Attempting uninstall: llama-cpp-python
Found existing installation: llama-cpp-python 0.1.83
Uninstalling llama-cpp-python-0.1.83:
Successfully uninstalled llama-cpp-python-0.1.83
Successfully installed diskcache-5.6.3 llama-cpp-python-0.1.83 numpy-1.25.2 typing-extensions-4.7.1

from open-interpreter.

jordanbtucker avatar jordanbtucker commented on May 14, 2024

This is now a duplicate of #168. 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.