HelpingAI/HELVETE-X
LoRA-style vs HelpingAI/HelpingAI2.5-10B. 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 42 of 42 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/85, MLP 126/126, Attention 168/168, lm_head 0/1
3 derivatives checked
- mradermacher/HELVETE-X-i1-GGUF: Quantization
- mradermacher/HELVETE-X-GGUF: Same weights, converted
- MaziyarPanahi/HELVETE-X-GGUF: Same weights, converted