Mihaiii/Pallas-0.5
LoRA-style vs migtissera/Tess-34B-v1.4. 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 60 of 60 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/121, MLP 180/180, Attention 240/240, lm_head 0/1
4 derivatives checked
- TheBloke/Pallas-0.5-GGUF: Quantization
- mradermacher/Pallas-0.5-GGUF: Quantization
- Mihaiii/Cluj-Napoca-0.2: Partial fine-tune
- Mihaiii/Pallas-0.5-frankenmerge: Same weights, repacked