docs: publish under the Tromset account on ollama.com

Documentation.md

@@ -47,16 +47,16 @@ ollama --version
 
 ### 3.1 From ollama.com
 
-FlyCoder is published at [ollama.com/delairvictor9/flycoder](https://ollama.com/delairvictor9/flycoder). One command is enough:
+FlyCoder is published at [ollama.com/Tromset/flycoder](https://ollama.com/Tromset/flycoder). One command is enough:
 
 ```sh
-ollama run delairvictor9/flycoder                       # main variant (Gemma 4 12B, MLX)
-ollama run delairvictor9/flycoder:fast                  # fast variant (Qwen3.5 4B, MLX)
-ollama run delairvictor9/flycoder:0.2-beta-gguf         # main, Intel Mac, Linux, Windows
-ollama run delairvictor9/flycoder:0.2-beta-fast-gguf    # fast, Intel Mac, Linux, Windows
+ollama run Tromset/flycoder                       # main variant (Gemma 4 12B, MLX)
+ollama run Tromset/flycoder:fast                  # fast variant (Qwen3.5 4B, MLX)
+ollama run Tromset/flycoder:0.2-beta-gguf         # main, Intel Mac, Linux, Windows
+ollama run Tromset/flycoder:0.2-beta-fast-gguf    # fast, Intel Mac, Linux, Windows
 ```
 
-Available tags: `latest` and `0.2-beta` (main), `fast` and `0.2-beta-fast` (fast), `0.2-beta-gguf` and `0.2-beta-fast-gguf` (portable). To call it simply `flycoder`: `ollama cp delairvictor9/flycoder flycoder`.
+Available tags: `latest` and `0.2-beta` (main), `fast` and `0.2-beta-fast` (fast), `0.2-beta-gguf` and `0.2-beta-fast-gguf` (portable). For now only the GGUF tags (`0.2-beta-gguf`, `0.2-beta-fast-gguf`, `0.2-beta-lite-gguf`, `router-gguf`) are online; the MLX tags arrive once they are pushed from an Apple Silicon Mac. Until then, Mac users install with `install.sh`. To call it simply `flycoder`: `ollama cp Tromset/flycoder flycoder`.
 
 ### 3.2 One-command installer
 
@@ -205,7 +205,7 @@ ollama launch codex --model flycoder      # Codex
 ollama launch opencode --model flycoder   # OpenCode
 ```
 
-If you got FlyCoder from ollama.com without `install.sh`, use the published name: `ollama launch claude --model delairvictor9/flycoder`.
+If you got FlyCoder from ollama.com without `install.sh`, use the published name: `ollama launch claude --model Tromset/flycoder`.
 
 `ollama launch --help` lists the other integrations, including VS Code, Copilot CLI, Cline, Qwen Code, Pi and Droid. Agents send long instructions and many files: Ollama recommends at least 64,000 tokens of context for them (section 6.2).
 
@@ -215,7 +215,7 @@ FlyBrain is a small, dependency-free Node 22 server that sits in front of Ollama
 
 ```sh
 node ~/.flycoder/brain/flybrain.mjs          # copied by install.sh; or npm run brain in this repository
-node brain/flybrain.mjs --prefix delairvictor9/   # with the models published on ollama.com
+node brain/flybrain.mjs --prefix Tromset/   # with the models published on ollama.com
 ```
 
 Options: `--port` (11435), `--ollama` (http://127.0.0.1:11434), `--prefix`, `--max-expert auto|full|fast`. With `auto`, the default, a Mac with less than 16 GB caps `flycoder` at the 4B.
@@ -336,7 +336,7 @@ On this server, the main variant solves almost three times as many problems, but
 
 ## 8. Publishing a version on ollama.com
 
-0.2 beta is published under the `delairvictor9` account. To publish a new version, follow these steps. The script refuses to push non-MLX builds under the main tags: build them on an Apple Silicon Mac.
+The GGUF tags of 0.2 beta are published under the `Tromset` account; the MLX tags must be pushed from an Apple Silicon Mac, because Ollama cannot build MLX models on Linux. To publish a new version, follow these steps. The script refuses to push non-MLX builds under the main tags: build them on an Apple Silicon Mac.
 
 1. Create an account on [ollama.com](https://ollama.com/signup). The username becomes the model's prefix (`<username>/flycoder`).
 2. Link the machine to the account: `ollama signin`, then confirm in the browser. Authorized machines are managed in the account settings, under Ollama keys; remove the ones you no longer use.

brain/flybrain.mjs

@@ -1,7 +1,7 @@
 #!/usr/bin/env node
 // FlyBrain: an Ollama-compatible server that answers to `flycoder` and `flycoder:fast`,
 // routes each request to one expert model and keeps a single expert in memory.
-// Usage: node brain/flybrain.mjs [--port 11435] [--ollama http://127.0.0.1:11434] [--prefix delairvictor9/] [--max-expert auto|full|fast]
+// Usage: node brain/flybrain.mjs [--port 11435] [--ollama http://127.0.0.1:11434] [--prefix Tromset/] [--max-expert auto|full|fast]
 import http from 'node:http';
 import os from 'node:os';
 import fs from 'node:fs';

brain/router.mjs

@@ -37,7 +37,7 @@ export function ruleRoute(d) {
 }
 
 // Experts behind each name FlyBrain answers to. `prefix` lets the published
-// models be used directly, e.g. prefix 'delairvictor9/' for delairvictor9/flycoder:0.2-beta.
+// models be used directly, e.g. prefix 'Tromset/' for Tromset/flycoder:0.2-beta.
 export function profiles(prefix = '', { maxExpert = 'full' } = {}) {
   const tag = t => `${prefix}flycoder:${t}`;
   const normal = { simple: tag('0.2-beta-fast'), hard: tag(maxExpert === 'fast' ? '0.2-beta-fast' : '0.2-beta'), router: tag('router'), think: true };

docs/ollama-model-page.md

@@ -3,8 +3,8 @@
 A local coding model tuned for MacBook and Mac mini (Apple Silicon), packaged for Ollama.
 
 ```sh
-ollama run delairvictor9/flycoder         # Gemma 4 12B base, Macs with 16 GB or more
-ollama run delairvictor9/flycoder:fast    # Qwen3.5 4B base, Macs with 8 GB
+ollama run Tromset/flycoder         # Gemma 4 12B base, Macs with 16 GB or more
+ollama run Tromset/flycoder:fast    # Qwen3.5 4B base, Macs with 8 GB
 ```
 
 ## Tags
@@ -32,7 +32,7 @@ MLX tags need Ollama 0.31 or later on Apple Silicon.
 FlyBrain is a small Node server from the GitHub repository that sits in front of Ollama. It answers to `flycoder` and `flycoder:fast`, sends simple questions to a smaller expert, sends hard requests (and every agent request with tools) to the strong one, and keeps a single expert in memory. Measured on a 16 GB Linux server (GGUF, CPU): a simple request to `flycoder` uses 6.1 GiB instead of 10.5. Hard requests still use the strong model, so their quality is unchanged.
 
 ```sh
-node brain/flybrain.mjs --prefix delairvictor9/
+node brain/flybrain.mjs --prefix Tromset/
 OLLAMA_HOST=127.0.0.1:11435 ollama run flycoder
 ```
 

readme.md

@@ -6,13 +6,15 @@ Full documentation (installation, usage, API, settings, benchmark, publishing, t
 
 ## One-command install
 
-You need [Ollama](https://ollama.com/download) 0.31 or later, running. FlyCoder is published at [ollama.com/delairvictor9/flycoder](https://ollama.com/delairvictor9/flycoder):
+You need [Ollama](https://ollama.com/download) 0.31 or later, running. FlyCoder is published at [ollama.com/Tromset/flycoder](https://ollama.com/Tromset/flycoder):
 
 ```sh
-ollama run delairvictor9/flycoder        # Gemma 4 12B, Macs with 16 GB or more
-ollama run delairvictor9/flycoder:fast   # Qwen3.5 4B, 8 GB Macs
+ollama run Tromset/flycoder        # Gemma 4 12B, Macs with 16 GB or more
+ollama run Tromset/flycoder:fast   # Qwen3.5 4B, 8 GB Macs
 ```
 
+For now only the portable GGUF tags are online (`ollama run Tromset/flycoder:0.2-beta-gguf`); the Mac (MLX) tags above come next. Until then, Macs install with `install.sh` below.
+
 Or, to install it under the short name `flycoder`, with the variant picked from your Mac's memory:
 
 ```sh
@@ -63,7 +65,7 @@ ANTHROPIC_BASE_URL=http://127.0.0.1:11435 ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_
 # Codex, OpenCode, Cline…: OpenAI-compatible URL http://127.0.0.1:11435/v1, model flycoder
 ```
 
-With the models published on ollama.com rather than installed by `install.sh`: `ollama pull delairvictor9/flycoder:router` (and `:0.2-beta-lite`, `:0.2-beta-fast`, `:0.2-beta`), then `node brain/flybrain.mjs --prefix delairvictor9/`.
+With the models published on ollama.com rather than installed by `install.sh`: `ollama pull Tromset/flycoder:router` (and `:0.2-beta-lite`, `:0.2-beta-fast`, `:0.2-beta`), then `node brain/flybrain.mjs --prefix Tromset/`.
 
 ## What changed since 0.1
 
@@ -116,7 +118,7 @@ ollama run flycoder --think=false        # immediate answer, for simple question
 ollama run flycoder:fast                 # 4B variant if you installed it
 ```
 
-In a conversation, `/set nothink` turns thinking off and `/set parameter num_ctx 65536` enlarges the context (about 0.5 GB of extra memory for the main variant). Ollama recommends at least 64,000 tokens for coding agents; FlyCoder also works with `ollama launch` (Claude Code, Codex, OpenCode): `ollama launch claude --model flycoder` if you installed it with `install.sh`, or `ollama launch claude --model delairvictor9/flycoder` from ollama.com. `ollama launch` talks to Ollama directly; to go through FlyBrain, see the FlyBrain section.
+In a conversation, `/set nothink` turns thinking off and `/set parameter num_ctx 65536` enlarges the context (about 0.5 GB of extra memory for the main variant). Ollama recommends at least 64,000 tokens for coding agents; FlyCoder also works with `ollama launch` (Claude Code, Codex, OpenCode): `ollama launch claude --model flycoder` if you installed it with `install.sh`, or `ollama launch claude --model Tromset/flycoder` from ollama.com. `ollama launch` talks to Ollama directly; to go through FlyBrain, see the FlyBrain section.
 
 From an application, the Ollama API is all you need:
 
@@ -134,7 +136,7 @@ Done once, from an Apple Silicon Mac:
 4. Publish: `sh scripts/publish.sh <username>` (add `--gguf` to also publish the Intel Mac, Linux and Windows builds).
 5. Paste the text of [docs/ollama-model-page.md](docs/ollama-model-page.md) into the model page description.
 
-After that, anyone can run `ollama run <username>/flycoder` or `ollama run <username>/flycoder:fast`. 0.2 beta is published under `delairvictor9`.
+After that, anyone can run `ollama run <username>/flycoder` or `ollama run <username>/flycoder:fast`. The GGUF tags of 0.2 beta are published under `Tromset`; the MLX tags (`latest`, `fast`) still have to be pushed from an Apple Silicon Mac.
 
 ## Repository contents
 

tests/router.test.mjs

@@ -56,7 +56,7 @@ test('route: a conversation keeps its expert and can only move up', async () =>
 });
 
 test('profiles: prefix for published models and the 8 GB cap', () => {
-  assert.equal(profiles('delairvictor9/').flycoder.hard, 'delairvictor9/flycoder:0.2-beta');
+  assert.equal(profiles('Tromset/').flycoder.hard, 'Tromset/flycoder:0.2-beta');
   assert.equal(profiles('', { maxExpert: 'fast' }).flycoder.hard, 'flycoder:0.2-beta-fast');
   assert.equal(defaultMaxExpert(8 * 2 ** 30), 'fast');
   assert.equal(defaultMaxExpert(16 * 2 ** 30), 'full');