fervent_mcclintock/Qwen3-PyCoder-Instruct

fervent_mcclintock/ Qwen3-PyCoder-Instruct

6 Downloads Updated yesterday

There is no default prompt. It will need to be prompted. The gemmacoder on my repo has a prompt better suited for this model, try that one.

ollama run fervent_mcclintock/Qwen3-PyCoder-Instruct:Q4_0

curl http://localhost:11434/api/chat \
  -d '{
    "model": "fervent_mcclintock/Qwen3-PyCoder-Instruct:Q4_0",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='fervent_mcclintock/Qwen3-PyCoder-Instruct:Q4_0',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'fervent_mcclintock/Qwen3-PyCoder-Instruct:Q4_0',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

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Name

7 models

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Context

Input

Qwen3-PyCoder-Instruct:Q4_0

17GB · 256K context window · Text · yesterday

Qwen3-PyCoder-Instruct:Q4_0

17GB

256K

Text

Qwen3-PyCoder-Instruct:Q4_K_M

19GB · 256K context window · Text · yesterday

Qwen3-PyCoder-Instruct:Q4_K_M

19GB

256K

Text

Qwen3-PyCoder-Instruct:Q5_0

21GB · 256K context window · Text · yesterday

Qwen3-PyCoder-Instruct:Q5_0

21GB

256K

Text

Qwen3-PyCoder-Instruct:Q5_K_S

21GB · 256K context window · Text · yesterday

Qwen3-PyCoder-Instruct:Q5_K_S

21GB

256K

Text

Qwen3-PyCoder-Instruct:Q5_K_M

22GB · 256K context window · Text · yesterday

Qwen3-PyCoder-Instruct:Q5_K_M

22GB

256K

Text

Qwen3-PyCoder-Instruct:Q6_K

25GB · 256K context window · Text · yesterday

Qwen3-PyCoder-Instruct:Q6_K

25GB

256K

Text

Qwen3-Pycoder-Instruct:Q8_0

32GB · 256K context window · Text · yesterday

Qwen3-Pycoder-Instruct:Q8_0

32GB

256K

Text

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