Tesslate/Synthia-S1-27b
LoRA-style vs google/gemma-3-27b-it. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, k_proj, o_proj, q_proj, up_proj, v_proj changed, in 62 of 62 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/4, Norms 0/484, MLP 186/294, Attention 248/464, other 0/1
4 derivatives checked
- bartowski/Tesslate_Synthia-S1-27b-GGUF: Same weights, converted (fewer layers)
- mradermacher/Synthia-S1-27b-i1-GGUF: Quantization (fewer layers)
- mradermacher/Synthia-S1-27b-GGUF: Quantization (fewer layers)
- OddTheGreat/Mars_27B_V.1: LoRA-style
1 other repos hold byte-for-byte identical weight files.