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Update model_tools.md
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model_tools.md
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@@ -14,6 +14,9 @@ Tools to enhance LLM quantizations and merging
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- Merge models in minutes instead of hours on low VRAM. For a 3060/3060 Ti user: This script enables functionality that is otherwise impossible (merging 70B models or large 7B merges with `--cuda`) without OOM. [More details here](https://huggingface.co/spaces/Naphula/model_tools/blob/main/mergekit_low-VRAM-graph_patch.md)
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- Update: v18 is much faster than v4 and replaces the trial-and-error loop with an adaptive math-based calculator (using GrimJim's measure.py logic)
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# [fp32_to_fp16.py](https://huggingface.co/spaces/Naphula/model_tools/blob/main/fp32_to_fp16.py)
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- Converts FP32 to FP16 safetensors
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- Merge models in minutes instead of hours on low VRAM. For a 3060/3060 Ti user: This script enables functionality that is otherwise impossible (merging 70B models or large 7B merges with `--cuda`) without OOM. [More details here](https://huggingface.co/spaces/Naphula/model_tools/blob/main/mergekit_low-VRAM-graph_patch.md)
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- Update: v18 is much faster than v4 and replaces the trial-and-error loop with an adaptive math-based calculator (using GrimJim's measure.py logic)
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# [metadata_audit.py](https://huggingface.co/spaces/Naphula/model_tools/blob/main/metadata_audit.py)
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- Checks multiple models within subdirectories for vocab or rope mismatch (useful for large merges). Calibrated for Mistral Nemo 12B by default.
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# [fp32_to_fp16.py](https://huggingface.co/spaces/Naphula/model_tools/blob/main/fp32_to_fp16.py)
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- Converts FP32 to FP16 safetensors
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