lexi-coder-v4.1 – AI Model by reallexi | AlphaNeural AI

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reallexi/
lexi-coder-v4.1

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ai-model-builder

text-generation

microsoft/Phi-4-mini-instruct

endpoints_compatible

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reallexi/lexi-coder-v4.1

A GGUF build of 3.85B parameters, derived from 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

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
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