ModelHub XC fe2365f55e 初始化项目,由ModelHub XC社区提供模型
Model: reallexi/lexi-coder-v4.1
Source: Original Platform
2026-09-12 18:06:24 +08:00

license, license_name, base_model, library_name, pipeline_tag, tags
license license_name base_model library_name pipeline_tag tags
other inherits-base-model-and-dataset-terms microsoft/Phi-4-mini-instruct gguf text-generation
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.

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.

Copyright (c) 2026 Reallexi LLC. All rights reserved.

Produced by Reallexi LLC AI Model Builder from training job #1472. Core: https://llm.reallexi.io

Description
Model synced from source: reallexi/lexi-coder-v4.1
Readme 3 MiB
Languages
Jinja 100%