ExpedientFalcon/Qwen3-4B-UD-Q5_K

ExpedientFalcon/ Qwen3-4B-UD-Q5_K_XL

447K Downloads Updated 10 months ago

Qwen3-4B Q5_K_XL Unsloth UD 2.0 adaptively quantized model, much better for coding than vanilla Q4_K_M quants without taking up the VWAM of an 8-bit Q8_0 model. From https://huggingface.co/unsloth/Qwen3-4B-GGUF/tree/main

tools

ollama run ExpedientFalcon/Qwen3-4B-UD-Q5_K_XL

curl http://localhost:11434/api/chat \
  -d '{
    "model": "ExpedientFalcon/Qwen3-4B-UD-Q5_K_XL",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='ExpedientFalcon/Qwen3-4B-UD-Q5_K_XL',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'ExpedientFalcon/Qwen3-4B-UD-Q5_K_XL',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)