77 lines
1.7 KiB
Markdown
77 lines
1.7 KiB
Markdown
---
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license: other
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license_name: "inherits-base-model-and-dataset-terms"
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base_model: "microsoft/Phi-4-mini-instruct"
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library_name: gguf
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pipeline_tag: "text-generation"
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tags:
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- "ai-model-builder"
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- "fine-tuned"
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- gguf
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- llama.cpp
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- lora
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- q4_k_m
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- reallexi
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- "text-generation"
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---
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# reallexi/lexi-coder-v4.1
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A GGUF build of 3.85B parameters, derived from [`microsoft/Phi-4-mini-instruct`](https://huggingface.co/microsoft/Phi-4-mini-instruct).
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## Size and requirements
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| Parameters | 3,847,556,096 (3.85B) |
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| Weights on disk | 9.48 GB |
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| Quantization | Q4_K_M |
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| Trained context length | 1,024 tokens |
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| Base model | `microsoft/Phi-4-mini-instruct` |
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Approximate memory to hold the weights. Add context and runtime overhead on top.
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| Precision | Weights |
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|---|---|
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| FP16 / BF16 | 7.17 GB |
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| 8-bit (Q8_0) | 3.58 GB |
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| 4-bit (Q4_K_M) | 1.97 GB |
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## Training
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| Strategy | lora |
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| Adapter | Auto LoRA |
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| LoRA rank / alpha | 8 / 16 |
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| Dataset | `ianncity/GLM-5.2-Conversation` |
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| Samples learned | 50,296 (through phase 11 of 20) |
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| Training steps | 370 |
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| Epochs | 5 |
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## Usage
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```bash
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llama-cli -m reallexi/lexi-coder-v4.1.gguf -p "Your prompt here"
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```
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## License and attribution
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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.
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- Base model: [`microsoft/Phi-4-mini-instruct`](https://huggingface.co/microsoft/Phi-4-mini-instruct)
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- Training data: `ianncity/GLM-5.2-Conversation`
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Copyright (c) 2026 Reallexi LLC. All rights reserved.
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Produced by Reallexi LLC AI Model Builder from training job #1472.
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Core: https://llm.reallexi.io
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