---
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