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Godoter-27B-MLX-4bit
h1st0ry3D/Godoter-27B-MLX-4bit
Godoter-27B-MLX-4bit is a text generation model from h1st0ry3D. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as other.
MLX 4-bit quantized version of Ruler97/Godoter-27B — a Qwen3.5-27B finetune specialized for Godot 4 GDScript game development.
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767
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Parameters
26.9B
15.2 GB on disk
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2
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Repo makeup
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.safetensors15.1 GB · 100%
Parameter types
How the weights are stored.
U3226.9B · 100%
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Base models
Model card
From the Hugging Face model README
Godoter-27B-MLX-4bit
MLX 4-bit quantized version of Ruler97/Godoter-27B — a Qwen3.5-27B finetune specialized for Godot 4 GDScript game development.
Converted with Unsloth 2026.6.6 and quantized to 4-bit (group_size=64, affine mode) for compatibility with oMLX and Apple MLX on Apple Silicon.
Model details
| Property | Value |
|---|---|
| Base model | unsloth/Qwen3.6-27B |
| Finetune | Ruler97/Godoter-27B — Godot GDScript expert |
| Architecture | Qwen3.5 (dense 27B, 64 layers, 24 attention heads, 4 KV heads) |
| Context length | 262,144 tokens (theoretical), 32,768 recommended on 32 GB |
| Quantization | 4-bit, group_size=64, affine mode |
| Weight size | ~14 GB (3 safetensors shards) |
| Format | MLX safetensors (mlx library) |
| MTP | 1 MTP prediction head (included in weights) |
Files
| File | Size | Description |
|---|---|---|
config.json | 4.2 KB | Architecture + quantization config |
model-00001-of-00003.safetensors | 5.0 GB | Weight shard 1 |
model-00002-of-00003.safetensors | 5.0 GB | Weight shard 2 |
model-00003-of-00003.safetensors | 4.1 GB | Weight shard 3 |
model.safetensors.index.json | 185 KB | Weight map index |
tokenizer.json | 19 MB | Tokenizer |
tokenizer_config.json | 1.2 KB | Tokenizer config |
chat_template.jinja | 7.9 KB | Qwen3.5 chat template |
generation_config.json | 213 B | Generation defaults |
Notes
- This is a pure text model (the vision tower from Qwen3.5-VL is excluded from the quant — only the text decoder was converted)
- The model has MTP (Multi-Token Prediction) heads but can be run without them
- For 64k context, use the GGUF version instead (llama.cpp handles KV cache more efficiently for dense models)
- Converted with Unsloth 2026.6.6 (
unsloth_fixed_mtp: true)
- Task
- Text Generation
- Library
- mlx
- Type
- qwen3_5
- License
- other
- Languages
- en
- Created
- Jul 1, 2026
- Updated
- Jul 2, 2026