We found loading with quantized like
Q4,Q3,Q2, .. has performance degradation and repetitions.
Mini-Coder-v2 (15B)
Mini-Coder-v2 is build on top of upscaled & merged of Qwen3.5-9B + Qwen3.5-9B-Base model with Continual Pretraining (CPT), we feed ~36.63k high-quality curated luau raw codes & docs text to improves the luau coding tasks & knowledges capability.
This model present a upscaled of Qwen3.5-9B from only 32 layers to 56 layers for a deeper reasoning capability! This model parameters is 15.07B with Vision, 14.60B without Vision.
Uploaded finetuned model
- Developed by: khtsly
- License: apache-2.0
- Finetuned from model : khtsly/Mini-Coder-v2-noft
This qwen3_5 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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