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Model: reallexi/lexi-coder-v4.1
Source: Original Platform

README.md

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+---
+license: other
+license_name: "inherits-base-model-and-dataset-terms"
+base_model: "microsoft/Phi-4-mini-instruct"
+library_name: gguf
+pipeline_tag: "text-generation"
+tags:
+- "ai-model-builder"
+- "fine-tuned"
+- gguf
+- llama.cpp
+- lora
+- q4_k_m
+- reallexi
+- "text-generation"
+---
+
+# reallexi/lexi-coder-v4.1
+
+A GGUF build of 3.85B parameters, derived from [`microsoft/Phi-4-mini-instruct`](https://huggingface.co/microsoft/Phi-4-mini-instruct).
+
+
+## Size and requirements
+
+| | |
+|---|---|
+| Parameters | 3,847,556,096 (3.85B) |
+| Weights on disk | 9.48 GB |
+| Quantization | Q4_K_M |
+| Trained context length | 1,024 tokens |
+| Base model | `microsoft/Phi-4-mini-instruct` |
+
+
+Approximate memory to hold the weights. Add context and runtime overhead on top.
+
+| Precision | Weights |
+|---|---|
+| FP16 / BF16 | 7.17 GB |
+| 8-bit (Q8_0) | 3.58 GB |
+| 4-bit (Q4_K_M) | 1.97 GB |
+
+
+## Training
+
+| | |
+|---|---|
+| Strategy | lora |
+| Adapter | Auto LoRA |
+| LoRA rank / alpha | 8 / 16 |
+| Dataset | `ianncity/GLM-5.2-Conversation` |
+| Samples learned | 50,296 (through phase 11 of 20) |
+| Training steps | 370 |
+| Epochs | 5 |
+
+
+## Usage
+
+```bash
+llama-cli -m reallexi/lexi-coder-v4.1.gguf -p "Your prompt here"
+```
+
+
+## License and attribution
+
+The effective terms are inherited from the base model and the training data, which are not necessarily the same as this project's own license. Review both before redistributing.
+
+- Base model: [`microsoft/Phi-4-mini-instruct`](https://huggingface.co/microsoft/Phi-4-mini-instruct)
+
+- Training data: `ianncity/GLM-5.2-Conversation`
+
+
+Copyright (c) 2026 Reallexi LLC. All rights reserved.
+
+
+Produced by Reallexi LLC AI Model Builder from training job #1472.
+Core: https://llm.reallexi.io