codeqwen

codeqwen:latest

368.3K Downloads Updated 1 year ago

CodeQwen1.5 is a large language model pretrained on a large amount of code data.

ollama run codeqwen

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

from ollama import chat

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

import ollama from 'ollama'

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

Details

Updated 1 year ago

1 year ago

df352abf55b1 · 4.2GB ·

model

archqwen2

parameters7.25B

quantizationQ4_0

4.2GB

license

../../../Qwen/CodeQwen1.5-7B-Chat/LICENSE

41B

params

{ "stop": [ "<|im_start|>", "<|im_end|>" ] }

59B

system

You are a helpful assistant.

28B

template

{{ if .System }}<|im_start|>system {{ .System }}<|im_end|> {{ end }}{{ if .Prompt }}<|im_start|>user

182B

Readme

CodeQwen1.5 is based on Qwen1.5. It is trained on 3 trillion tokens of code data. Its major features include:

Strong code generation capabilities and competitive performance across a series of benchmarks
Support for long context understanding and generation with a maximum context length of 64K tokens
Support for 92 coding languages
Excellent performance in Text-to-SQL, fixing bugs and other coding use cases.

References

Blog Post

GitHub

HuggingFace