oyildirim/CyberStrike-OffSec-35B
LoRA-style vs Qwen/Qwen3.6-35B-A3B. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, in_proj_a, in_proj_b, in_proj_qkv, in_proj_z, k_proj, o_proj, out_proj, q_proj, up_proj, v_proj changed, in 40 of 40 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/4, Attention 190/388, MLP 120/392, Norms 0/241, lm_head 0/1
5 derivatives checked
- huihui-ai/Huihui-CyberStrike-OffSec-35B-abliterated-GGUF: Abliterated
- huihui-ai/Huihui-CyberStrike-OffSec-35B-abliterated: Abliterated
- ahmedandaloes/CyberStrike-OffSec-35B-GGUF: Full fine-tune
- ahmedandaloes/CyberStrike-OffSec-35B-MLX-4bit: Quantization
- ahmedandaloes/CyberStrike-OffSec-35B-MLX-6bit: Quantization