LoganResearch/ARC-Base-8B-Condensed
LoRA-style vs NousResearch/Hermes-3-Llama-3.1-8B. 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 32 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/65, MLP 96/96, Attention 128/128, lm_head 0/1
2 derivatives checked
- mradermacher/ARC-Base-8B-Condensed-i1-GGUF: Quantization
- mradermacher/ARC-Base-8B-Condensed-GGUF: Same weights, converted
1 other repos hold byte-for-byte identical weight files.