treyleo16/ small-minded:260k

67 Downloads Updated 1 week ago

Like a little baby with a small brain.

0.0001m 0.00077m 0.001m 0.26m 1m

ollama run treyleo16/small-minded:260k

curl http://localhost:11434/api/chat \
  -d '{
    "model": "treyleo16/small-minded:260k",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='treyleo16/small-minded:260k',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'treyleo16/small-minded:260k',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Details

Updated 1 week ago

1 week ago

b54b2b12d5fb · 1.8MB ·

model

archllama

·

parameters260K

·

quantizationF32

1.8MB

template

{{ if .System }}### System: {{ .System }} {{ end }}{{ if .Prompt }}### User: {{ .Prompt }} {{ end }}

132B

license

MIT small-minded:260k - 260,008 parameters. d_model 8, 2 layers, ffn 72, vocab 32000.

86B

params

{ "num_ctx": 512, "stop": [ "### User:", "### System:" ], "temperatu

81B

Readme

Small-Minded

A model with a tiny bit of knowledge Ask it sing a song; it might reply La la la, I only know one note!

Why did you even make this model if it’s small?

Big models like TrAI 4 Zynr ollama run treyleo16/trai-4-zynr-super-lightweight are like “Yeah, I’m smart, beep boop Science”, but models like smollm (NOT OUR MODEL) or our model small-minded, especially the 260k parameter one, can come up with very, very, funny results.

Models

We have treyleo16/small-minded:0.26m To run the 260k one, just run in your terminal: ollama run treyleo16/small-minded:0.26m Also, our Flagship Model treyleo16/small-minded:1m to run it just go in your terminal and run ollama run treyleo16/small-minded:1m Our Small-Ship model, treyleo16/small-minded:0.001m Same as always, to run it just type ollama run treyleo16/small-minded:0.001m Note: The 100 Parameter model doesn’t work Our 100 Parameter model which is pretty much a baby treyleo16/small-minded:0.0001m, to run it, as always run ollama run treyleo16/small-minded:0.0001m Our 768 Parameters model: treyleo16/small-minded:0.00077m run ollama run treyleo16/small-minded:0.00077m

Models that will come soon…

It’s Quiet here.

Shortcut Models

0.001m is our 1k model, and 0.026m is our 260k model.

# Small-Minded
A model with a tiny bit of knowledge 
Ask it ```sing a song```; it might reply ```La la la, I only know one note!```
![1000277209.png](/assets/treyleo16/small-minded/0daec81c-dc5d-432f-9f97-c0340e308fda)

## Why did you even make this model if it's small?
Big models like TrAI 4 Zynr ```ollama run treyleo16/trai-4-zynr-super-lightweight``` are like "Yeah, I'm smart, beep boop Science", but models like smollm (NOT OUR MODEL) or our model small-minded, especially the 260k parameter one, can come up with very, **_very_**, funny results.
## Models
We have ```treyleo16/small-minded:0.26m``` 
To run the 260k one, just run in your terminal: ``` ollama run treyleo16/small-minded:0.26m```
Also, our Flagship Model ```treyleo16/small-minded:1m``` to run it just go in your terminal and run ```ollama run treyleo16/small-minded:1m```
Our Small-Ship model, ```treyleo16/small-minded:0.001m```
Same as always, to run it just type ```ollama run treyleo16/small-minded:0.001m```
 _Note: The 100 Parameter model doesn't work_ Our 100 Parameter model which is pretty much a baby ```treyleo16/small-minded:0.0001m```, to run it, as always run ```ollama run treyleo16/small-minded:0.0001m``` 
Our 768 Parameters model: ```treyleo16/small-minded:0.00077m``` run ```ollama run treyleo16/small-minded:0.00077m```
## Models that will come soon...
It's Quiet here.
## Shortcut Models
0.001m is our 1k model, and 0.026m is our 260k model.

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