Code assistant trained by GPT-OSS 20B

tools

ollama run CYLI310/CodeGPT

curl http://localhost:11434/api/chat \
  -d '{
    "model": "CYLI310/CodeGPT",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='CYLI310/CodeGPT',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'CYLI310/CodeGPT',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Details

Updated 1 year ago

1 year ago

a25e9908a471 · 4.4GB

model

archllama

parameters7.25B

quantizationQ4_K_M

4.4GB

license

Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US

11kB

adapter

archllama

parameters7.96M

quantizationF16

16MB

system

You are CodeGPT, trained by Justin to solve coding issues.

58B

params

{ "stop": [ "[INST]", "[/INST]" ] }

30B

template

{{- if .Messages }} {{- range $index, $_ := .Messages }} {{- if eq .Role "user" }} {{- if and (eq (l

799B

Readme

base_model: unsloth/gpt-oss-20b-unsloth-bnb-4bit tags: - text-generation-inference - transformers - unsloth - gpt_oss - trl license: apache-2.0 language:

- en

Uploaded model

Developed by: CYLI310
License: apache-2.0
Finetuned from model : unsloth/gpt-oss-20b-unsloth-bnb-4bit

This gpt_oss model was trained 2x faster with Unsloth and Huggingface’s TRL library.