Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 8 additions & 6 deletions readme.md
Original file line number Diff line number Diff line change
Expand Up @@ -12,14 +12,16 @@ You need Ollama 0.30 or later (0.32.12 for `pro`). Full documentation: [Document

## The three models

| Model | Base | Weights | Mac | Context |
|---|---|---|---|---|
| [`Tromset/flycoder0.3`](https://ollama.com/Tromset/flycoder0.3) | Qwen3.5 9B | 6.6 GB | 16 GB | 65,536 tokens |
| [`Tromset/flycoder0.3fast`](https://ollama.com/Tromset/flycoder0.3fast) | Qwen3.5 4B | 3.3 GB | 8 GB | 32,768 tokens |
| [`Tromset/flycoder0.3pro`](https://ollama.com/Tromset/flycoder0.3pro) | Qwen3.8 27B | 18 GB | 32 GB or more | 65,536 tokens |
| Model | Hugging Face | Base | Weights | Mac | Context |
|---|---|---|---|---|---|
| [`Tromset/flycoder0.3`](https://ollama.com/Tromset/flycoder0.3) | [Tromset/flycoder0.3](https://huggingface.co/Tromset/flycoder0.3) | Qwen3.5 9B | 6.6 GB | 16 GB | 65,536 tokens |
| [`Tromset/flycoder0.3fast`](https://ollama.com/Tromset/flycoder0.3fast) | [Tromset/flycoder0.3fast](https://huggingface.co/Tromset/flycoder0.3fast) | Qwen3.5 4B | 3.3 GB | 8 GB | 32,768 tokens |
| [`Tromset/flycoder0.3pro`](https://ollama.com/Tromset/flycoder0.3pro) | [Tromset/flycoder0.3pro](https://huggingface.co/Tromset/flycoder0.3pro) | Qwen3.8 27B | 18 GB | 32 GB or more | 65,536 tokens |

All three are portable GGUF builds: they run on Apple Silicon and Intel Macs, Linux and Windows, with tool calling, thinking and images. The bases are licensed under Apache 2.0.

The same GGUF files are on Hugging Face, for llama.cpp, LM Studio or Ollama: `ollama run hf.co/Tromset/flycoder0.3`, or `llama-server -hf Tromset/flycoder0.3 --jinja`. For tool calling and thinking in Ollama, the ollama.com names above are the reference.

What FlyCoder sets up on top of the base:

- **A large context**: 64K tokens instead of Ollama's 4,096 default on machines under 24 GB. Qwen's hybrid attention keeps it cheap: `flycoder0.3` uses 8.8 GB in total at 64K.
Expand Down Expand Up @@ -63,7 +65,7 @@ Details: [Documentation.md, section 5.5](Documentation.md#55-flybrain-the-router

Every change to `main` that touches a Modelfile or a page in `docs/ollama/` is published on ollama.com by the [publish-ollama](.github/workflows/publish-ollama.yml) workflow: models first, then their pages. It needs two repository secrets, `OLLAMA_KEY` and `OLLAMA_API_KEY` ([Documentation.md, section 8](Documentation.md#8-publishing-on-ollamacom)).

Each publication is then mirrored on Hugging Face by the [publish-huggingface](.github/workflows/publish-huggingface.yml) workflow: the same GGUF weights, vision projector, system prompt and sampling settings, with a model card from `docs/huggingface/`, runnable with `ollama run hf.co/<namespace>/flycoder0.3` or llama.cpp. It needs the `HF_TOKEN` secret ([Documentation.md, section 8.1](Documentation.md#81-publishing-on-hugging-face)).
Each publication is then mirrored on Hugging Face by the [publish-huggingface](.github/workflows/publish-huggingface.yml) workflow: the same GGUF weights, vision projector, system prompt and sampling settings, with a model card from `docs/huggingface/`, under [huggingface.co/Tromset](https://huggingface.co/Tromset). It needs the `HF_TOKEN` secret ([Documentation.md, section 8.1](Documentation.md#81-publishing-on-hugging-face)).

## Repository contents

Expand Down
Loading