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* model: add Muse Spark Open (text, vision and audio) Muse Spark Open is a latent space MoE: the residual stream stays at 8192 while the 256 experts live in 4096, with a projection down and up around them, top-8 sigmoid routing with a correction bias. Attention interleaves three sliding layers at a 2048 window with rope for one global layer without rope, with a sigmoid output gate and a weightless QK-norm. Residuals are norm preserving, their gate is folded at conversion time. Vision reuses the Muse Glimmer tower. Audio is a causal convolutional pyramid with no attention and no spectrogram, four stages folding 16, 6, 5 and 4 samples into the channel dim, one embedding per 80 ms of 24 kHz. The quantizer keeps the latent projections and the attention gate at Q8_0, a little over 1% of the weights, since the whole residual stream passes through them and the low-bit types turned the output into a repeating loop. The model saver writes the post norm epsilon, and the arch is registered in test-llama-archs. Co-authored-by: Xuan Son Nguyen <son@huggingface.co> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> * Muse Spark: drop the redundant forward expand * Muse Spark: drop the redundant forward expand and tighten the comments * Update src/llama-quant.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co> * Update src/llama-graph.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co> * Update conversion/muse_spark.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co> * Update conversion/muse_spark.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co> * Update conversion/muse_spark.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co> * Update conversion/muse_spark.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co> --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@huggingface.co> |
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| .. | ||
| templates | ||
| .editorconfig | ||
| ggml-vocab-aquila.gguf | ||
| ggml-vocab-baichuan.gguf | ||
| ggml-vocab-bert-bge.gguf | ||
| ggml-vocab-bert-bge.gguf.inp | ||
| ggml-vocab-bert-bge.gguf.out | ||
| ggml-vocab-command-r.gguf | ||
| ggml-vocab-command-r.gguf.inp | ||
| ggml-vocab-command-r.gguf.out | ||
| ggml-vocab-deepseek-coder.gguf | ||
| ggml-vocab-deepseek-coder.gguf.inp | ||
| ggml-vocab-deepseek-coder.gguf.out | ||
| ggml-vocab-deepseek-llm.gguf | ||
| ggml-vocab-deepseek-llm.gguf.inp | ||
| ggml-vocab-deepseek-llm.gguf.out | ||
| ggml-vocab-falcon.gguf | ||
| ggml-vocab-falcon.gguf.inp | ||
| ggml-vocab-falcon.gguf.out | ||
| ggml-vocab-gemma-4.gguf | ||
| ggml-vocab-gemma-4.gguf.inp | ||
| ggml-vocab-gemma-4.gguf.out | ||
| ggml-vocab-gpt-2.gguf | ||
| ggml-vocab-gpt-2.gguf.inp | ||
| ggml-vocab-gpt-2.gguf.out | ||
| ggml-vocab-gpt-neox.gguf | ||
| ggml-vocab-llama-bpe.gguf | ||
| ggml-vocab-llama-bpe.gguf.inp | ||
| ggml-vocab-llama-bpe.gguf.out | ||
| ggml-vocab-llama-spm.gguf | ||
| ggml-vocab-llama-spm.gguf.inp | ||
| ggml-vocab-llama-spm.gguf.out | ||
| ggml-vocab-mpt.gguf | ||
| ggml-vocab-mpt.gguf.inp | ||
| ggml-vocab-mpt.gguf.out | ||
| ggml-vocab-nomic-bert-moe.gguf | ||
| ggml-vocab-phi-3.gguf | ||
| ggml-vocab-phi-3.gguf.inp | ||
| ggml-vocab-phi-3.gguf.out | ||
| ggml-vocab-qwen2.gguf | ||
| ggml-vocab-qwen2.gguf.inp | ||
| ggml-vocab-qwen2.gguf.out | ||
| ggml-vocab-qwen35.gguf | ||
| ggml-vocab-qwen35.gguf.inp | ||
| ggml-vocab-qwen35.gguf.out | ||
| ggml-vocab-refact.gguf | ||
| ggml-vocab-refact.gguf.inp | ||
| ggml-vocab-refact.gguf.out | ||
| ggml-vocab-starcoder.gguf | ||
| ggml-vocab-starcoder.gguf.inp | ||
| ggml-vocab-starcoder.gguf.out | ||