clevaway / j.a.r.v.i.s Goto Github PK
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License: MIT License
Jarvis model: A Fine-tune of llama2, works 100% offline with Ollama
License: MIT License
I don't find anything. :(
As people mentioned before LLaMa is very slow due it's huge size... So why don't we try different models for example
"phi3" from microsoft.... in the context of day to day uses llama and phi3 won't have big difference.... but phi3 is lightwieght and is much more quick than llama. It has 3.8B parameters.... If we wan't to make to useable then LLaMa won't be good choice...
try "ollama run phi3"... You will get an idea
this makes installing the correct version difficult especially as modules tend to change their formats or functions around
after many pip install commands. I finally got to this freeze list under Ubuntu 23.10 python 3.11.5
annotated-types==0.6.0
anyio==4.3.0
asttokens==2.4.1
beautifulsoup4==4.12.3
blinker==1.7.0
certifi==2024.2.2
charset-normalizer==3.3.2
click==8.1.7
decorator==4.4.2
elevenlabs==1.1.2
executing==2.0.1
Flask==3.0.3
h11==0.14.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
imageio==2.34.1
imageio-ffmpeg==0.4.9
ipython==8.23.0
itsdangerous==2.2.0
jedi==0.19.1
Jinja2==3.1.3
MarkupSafe==2.1.5
matplotlib-inline==0.1.7
MouseInfo==0.1.3
moviepy==1.0.3
numpy==1.26.4
parso==0.8.4
pexpect==4.9.0
pillow==10.3.0
proglog==0.1.10
prompt-toolkit==3.0.43
ptyprocess==0.7.0
pure-eval==0.2.2
PyAudio==0.2.14
PyAutoGUI==0.9.54
pydantic==2.7.1
pydantic_core==2.18.2
PyGetWindow==0.0.9
Pygments==2.17.2
PyMsgBox==1.0.9
pyperclip==1.8.2
PyRect==0.2.0
PyScreeze==0.1.30
python-dotenv==1.0.1
python3-xlib==0.15
pytweening==1.2.0
pywhatkit==5.4
requests==2.31.0
six==1.16.0
sniffio==1.3.1
soupsieve==2.5
SpeechRecognition==3.10.3
stack-data==0.6.3
tqdm==4.66.2
traitlets==5.14.3
typing_extensions==4.11.0
urllib3==2.2.1
wcwidth==0.2.13
websockets==12.0
Werkzeug==3.0.2
wikipedia==1.4.0
Can you modify JARVIS to call GROQ endpoints? For those of us without GPUs GROQ is an incredibly low cost and highspeed option for inference. Even for people with GPUs GROQ can outperform a GPU for inference.
PS C:\Users...\J.A.R.V.I.S-main\J.A.R.V.I.S-main> python main.py
Traceback (most recent call last):
File "C:\Users...\J.A.R.V.I.S-main\J.A.R.V.I.S-main\main.py", line 8, in
from modules.Interlocus import Interlocus
File "C:\Users...\J.A.R.V.I.S-main\J.A.R.V.I.S-main\modules\Interlocus.py", line 5, in
from elevenlabs import generate, play
ImportError: cannot import name 'generate' from 'elevenlabs' (C:\Users...\elevenlabs_init_.py)
Why is it so slow
Which Python Version?
ollama run fotiecodes/jarvis
runs fine and can chat to jarvis but when calling ollama run jarvis:latest
this doesn't work.
$ ollama run jarvis:latest
pulling manifest
Error: pull model manifest: file does not exist
when running this projects code, it fails finding jarvis:latest
...
You said: what time is it
Time requested
11:13 AM
Saying: {'error': 'Error 404: {"error":"model \'jarvis:latest\' not found, try pulling it first"}'}
which is strange because this worked fine
$ ollama list
NAME ID SIZE MODIFIED
fotiecodes/jarvis:latest e784ce3e1255 3.8 GB 57 minutes ago
so it's clearly there, just not finding it.
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