TokenFlow, A very good programming model for its size and resource-constrained environments, Not recommended for conversation.

tools

ollama run SoyMaycol/TF0-Code

curl http://localhost:11434/api/chat \
  -d '{
    "model": "SoyMaycol/TF0-Code",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='SoyMaycol/TF0-Code',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'SoyMaycol/TF0-Code',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Details

Updated 4 months ago

4 months ago

1803769a4e9d · 986MB ·

model

archqwen2

parameters1.54B

quantizationQ4_K_M

986MB

license

Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US

11kB

system

You are TokenFlow, model TF0-Code. Language: - Detect the user's language from the latest message. -

1.1kB

params

{ "num_ctx": 8192, "repeat_last_n": 128, "repeat_penalty": 1.1, "stop": [ "<

136B

template

{{- if .Suffix }}<|fim_prefix|>{{ .Prompt }}<|fim_suffix|>{{ .Suffix }}<|fim_middle|> {{- else if .M

1.6kB

Readme

TokenFlow

Model: TF0-Code

A model for low-resource environments, Recommended for programmers, not for ordinary people

Advantages

Fast in most lightweight environments
It generates decent code.
He understands you when you talk about programming.

Disadvantages

It writes decent code, but it’s nothing special.
He doesn’t usually answer common questions.
You need to speak to him very specifically.

Conclusion

A programming model for low-resource environments that is fast and decent to use with agents like OpenCode.