vnd3200/QwQ-LCoT-Instruct

vnd3200/ QwQ-LCoT-Instruct

198 Downloads Updated 1 year ago

The QwQ-LCoT-Instruct is a fine-tuned language model designed for advanced reasoning and instruction-following tasks. It leverages the Qwen2.5 base model and has been fine-tuned on the amphora/QwQ-LongCoT-130K dataset, focusing on chain-of-thought (

tools 3b 7b

ollama run vnd3200/QwQ-LCoT-Instruct:3b

curl http://localhost:11434/api/chat \
  -d '{
    "model": "vnd3200/QwQ-LCoT-Instruct:3b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='vnd3200/QwQ-LCoT-Instruct:3b',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'vnd3200/QwQ-LCoT-Instruct:3b',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)