--- license: apache-2.0 tags: - text-generation - causal-language-model - qwen - coding - mathematics - reasoning - darija - arabic - moroccan-arabic - gguf library_name: transformers pipeline_tag: text-generation --- # Mtrini-27B-Tellus **Mtrini-27B-Tellus** is a CompiwerAI 27B-class language model focused on coding, mathematics, reasoning, Arabic, and Moroccan Darija. > **CompiwerAI — Building AI For Everyone.** ## Model Overview | Property | Value | |---|---| | Model | Mtrini-27B-Tellus | | Organization | CompiwerAI | | Base | Qwen3.8-27B | | Parameters | ~27B | | Context length | 4096 tokens | | Training steps | 700 | | Effective batch size | 16 | | Learning rate | 0.00015 | | LoRA rank | 32 | | LoRA alpha | 64 | | LoRA dropout | 0.05 | | Training quantization | 4-bit NF4 | | Compute dtype | BF16 | | Optimizer | paged_adamw_8bit | | Packing | Disabled | ## Training Data | Dataset category | Samples | Mix | |---|---:|---:| | OpenCodeInstruct | 3,920 | 35% | | Magicoder | 1,120 | 10% | | OpenR1-Math | 2,800 | 25% | | Moroccan Darija | 2,240 | 20% | | Aya Arabic / Moroccan Arabic | 1,120 | 10% | | **Total** | **11,200** | **100%** | ## Training Run - Global step: **700** - Final training loss: **0.4302458722250802** - Epoch: **1** - Runtime: approximately **3.15 hours** - Hardware: **NVIDIA RTX PRO 6000 Blackwell Server Edition** - Compute: **BF16** - Method: **QLoRA / LoRA** ## Release Variants ### LoRA Adapter The adapter-only release contains the learned LoRA weights. `CompiwerAI/Mtrini-27B-Tellus-Adapter` ### Merged Transformers Model The merged release contains the adapter weights merged into the compatible base model. `CompiwerAI/Mtrini-27B-Tellus-Merged` ### F16 GGUF Full F16 GGUF conversion for llama.cpp-compatible runtimes. `CompiwerAI/Mtrini-27B-Tellus-GGUF` ### IQ2_XS GGUF Highly compressed IQ2_XS GGUF release. `CompiwerAI/Mtrini-27B-Tellus-IQ2_XS` ### IQ2_XS Imatrix Importance matrix and calibration resources used for IQ2_XS quantization. `CompiwerAI/Mtrini-27B-Tellus-IQ2_XS-Imatrix` ## GGUF Architecture - Architecture: `qwen35` - Tensor count: 851 - Transformer blocks: 64 - Embedding size: 5120 - FFN size: 17408 - Attention heads: 24 - KV heads: 4 ## Intended Use Mtrini-27B-Tellus is intended for coding assistance, mathematics, reasoning, Arabic language tasks, Moroccan Darija tasks, general text generation, and local inference experimentation. ## Limitations Performance can vary depending on prompt format, runtime, quantization, and task. Training loss is a training metric and should not be interpreted as a benchmark score. ## Organization **CompiwerAI** Building AI For Everyone.