Mixture-of-Thoughts • 4 items • Updated • 1
Lacaille-MoT-4B-Supreme2-GGUF
Lacaille-MoT-4B-Supreme2 is a high-efficiency, multi-domain model fine-tuned on Qwen3-4B using the Mixture of Thoughts (MoT) dataset enhanced with code, math, science expert clusters and an extended open code reasoning dataset. This model blends symbolic precision, scientific logic, and structured output fluency—making it an ideal tool for developers, educators, and researchers seeking advanced reasoning under constrained compute.
Model File Table
| File Name | Size | Format | Description |
|---|---|---|---|
| Lacaille-MoT-4B-Supreme2.BF16.gguf | 8.05 GB | GGUF (BF16) | BFloat16 precision model file |
| Lacaille-MoT-4B-Supreme2.F16.gguf | 8.05 GB | GGUF (F16) | Float16 precision model file |
| Lacaille-MoT-4B-Supreme2.F32.gguf | 16.1 GB | GGUF (F32) | Float32 precision model file |
| Lacaille-MoT-4B-Supreme2.Q4_K_M.gguf | 2.5 GB | GGUF (Q4_K_M) | 4-bit quantized model file |
| Lacaille-MoT-4B-Supreme2.Q5_K_M.gguf | 2.89 GB | GGUF (Q5_K_M) | 5-bit quantized model file |
| Lacaille-MoT-4B-Supreme2.Q8_0.gguf | 4.28 GB | GGUF (Q8_0) | 8-bit quantized model file |
| config.json | 31 B | JSON | Configuration file |
| .gitattributes | 1.95 kB | Text | Git attributes configuration |
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GGUF
Model size
4B params
Architecture
qwen3
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Model tree for prithivMLmods/Lacaille-MoT-4B-Supreme2-GGUF
Base model
Qwen/Qwen3-4B-Base Finetuned
Qwen/Qwen3-4B Finetuned
prithivMLmods/Qwen3-4B-ft-bf16 Finetuned
prithivMLmods/Lacaille-MoT-4B-Supreme2