lemon-mint/gemma-7b-openhermes-v0.80
LoRA-style vs google/gemma-1.1-7b-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 28 of 28 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/57, MLP 84/84, Attention 112/112
2 derivatives checked
- mradermacher/gemma-7b-openhermes-v0.80-i1-GGUF: Quantization
- mradermacher/gemma-7b-openhermes-v0.80-GGUF: Same weights, converted