ShreyanGondaliya/s5

ShreyanGondaliya/ s5

352 Downloads Updated 2 months ago

A model based on the GLM-4.6v-flash:9b q5_k_m, and uncensored. For local use I recommend editing the model context in modelfile as it is set to 128k. #EDIT: New local optimised model same with context 4096 https://ollama.com/ShreyanGondaliya/s5-reduced

ollama run ShreyanGondaliya/s5

curl http://localhost:11434/api/chat \
  -d '{
    "model": "ShreyanGondaliya/s5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='ShreyanGondaliya/s5',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'ShreyanGondaliya/s5',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

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Name

1 model

Size

Context

Input

s5:latest

7.1GB · 128K context window · Text · 2 months ago

s5:latest

7.1GB

128K

Text

Readme

A model based on the GLM-4.6v-flash:9b q5_k_m, and uncensored. For local use I recommend editing the model context in modelfile as it is set to 128k. Please note that a new model I have made with same weights but lowered context for same reasoning but local usage - https://ollama.com/ShreyanGondaliya/s5-reduced