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reallexi/lexi-coder-v4.1
lexi-coder-v4.1 is a text generation model from reallexi. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as other.
A GGUF build of 3.85B parameters, derived from microsoft/Phi-4-mini-instruct.
Downloads · 30 days
275
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3.8B
17.9 GB on disk
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.gguf10.2 GB · 57%
From the Hugging Face model README
A GGUF build of 3.85B parameters, derived from microsoft/Phi-4-mini-instruct.
| 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 |
| 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 |
llama-cli -m reallexi/lexi-coder-v4.1.gguf -p "Your prompt here"
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