Tromset/ flycoder0.3

17 Downloads Updated 1 week ago

vision tools thinking

ollama run Tromset/flycoder0.3

curl http://localhost:11434/api/chat \
  -d '{
    "model": "Tromset/flycoder0.3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='Tromset/flycoder0.3',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'Tromset/flycoder0.3',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Applications

Claude Code ollama launch claude --model Tromset/flycoder0.3

OpenCode ollama launch opencode --model Tromset/flycoder0.3

Hermes Agent ollama launch hermes --model Tromset/flycoder0.3

OpenClaw ollama launch openclaw --model Tromset/flycoder0.3

Models

View all →

Name

3 models

Size / Usage

Context

Input

flycoder0.3:latest

6.6GB · 256K context window · Text, Image · 1 week ago

flycoder0.3:latest

6.6GB

256K

Text, Image

flycoder0.3:lite

2.7GB · 256K context window · Text, Image · 1 week ago

flycoder0.3:lite

2.7GB

256K

Text, Image

flycoder0.3:router

1.3GB · 256K context window · Text, Image · 1 week ago

flycoder0.3:router

1.3GB

256K

Text, Image

Readme

FlyCoder 0.3

A local coding model for Macs with 16 GB of memory. Complete, runnable code, a large context, and it answers in your language.

ollama run Tromset/flycoder0.3

Base	Size	Mac	Context
Qwen3.5 9B (Apache 2.0)	6.6 GB	16 GB	64K tokens

Code that runs: exact names and signatures, every import, edge cases handled, no “TODO”, no invented APIs.
Large context: 64K tokens out of the box, enough for whole files and coding agents (ollama launch claude --model Tromset/flycoder0.3).
Thinks first: reasoning is on by default; /set nothink for instant answers.

Other sizes: Tromset/flycoder0.3fast for 8 GB Macs, Tromset/flycoder0.3pro for 32 GB Macs or more.

Needs Ollama 0.30 or later. Runs on Apple Silicon, Intel Macs, Linux and Windows. Source, benchmark and installer: https://github.com/Tromset/flycoder