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docs: correct base_model lineage for HF model tree

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HF uses base_model + base_model_relation frontmatter to rank models in
search results and render the model tree widget. The Lemma family's
true lineage is:

google/gemma-4-*-it
└── LetheanNetwork/<m> (finetune β€” our namespace fork)
└── lthn/<m> (finetune β€” LEK merged into weights)
└── lthn/<m>-mlx (quantized β€” mlx 4/8bit/bf16)

Previously this repo had base_model_relation set to quantized, which
was wrong β€” LEK merging is a finetune, not a quant. Fixing so the
model tree widget ranks the family correctly.

Co-Authored-By: Virgil <virgil@lethean.io>

Files changed (1) hide show
  1. README.md +31 -1
README.md CHANGED
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  ---
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- language: en
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  tags:
 
 
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  - mlx
 
 
 
 
 
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  pipeline_tag: image-text-to-text
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  library_name: mlx
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  tags:
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+ - gemma4
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+ - lemma
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  - mlx
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+ - bf16
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+ - apple-silicon
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+ - multimodal
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+ - on-device
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+ - conversational
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  pipeline_tag: image-text-to-text
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  library_name: mlx
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+ license: eupl-1.2
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+ license_link: https://ai.google.dev/gemma/docs/gemma_4_license
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+ base_model:
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+ - lthn/lemrd
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+ base_model_relation: quantized
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  ---
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+
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+ # Lemrd β€” Gemma 4 31B Dense β€” MLX bf16 (full precision)
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+ The largest dense member of the Lemma model family by Lethean. An EUPL-1.2 fork of Gemma 4 31B with the Lethean Ethical Kernel (LEK) merged into the weights.
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+
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+ This repo hosts the **MLX bf16 (full precision)** build for native Apple Silicon inference via [`mlx-lm`](https://github.com/ml-explore/mlx-lm) and [`mlx-vlm`](https://github.com/Blaizzy/mlx-vlm). For the GGUF playground (Ollama, llama.cpp) see [`lthn/lemrd`](https://huggingface.co/lthn/lemrd). For the unmodified Google base see [`LetheanNetwork/lemrd`](https://huggingface.co/LetheanNetwork/lemrd).
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+
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+ ## Family
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+
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+ | Repo | Format | Bits |
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+ |---|---|---|
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+ | [`lthn/lemrd`](https://huggingface.co/lthn/lemrd) | GGUF multi-quant | Q4_K_M β†’ BF16 |
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+ | [`lthn/lemrd-mlx`](https://huggingface.co/lthn/lemrd-mlx) | MLX | 4-bit |
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+ | [`lthn/lemrd-mlx-8bit`](https://huggingface.co/lthn/lemrd-mlx-8bit) | MLX | 8-bit |
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+ | [`lthn/lemrd-mlx-bf16`](https://huggingface.co/lthn/lemrd-mlx-bf16) | MLX | bf16 |
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+
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+ ## License
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+
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+ EUPL-1.2. See [Gemma Terms of Use](https://ai.google.dev/gemma/docs/gemma_4_license) for upstream base model terms.