apus-ailab/APUS-OpenJev-v1-9B
LoRA-style vs Qwen/Qwen3.5-9B. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, in_proj_qkv, k_proj, o_proj, out_proj, q_proj, up_proj, v_proj changed, in 32 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: lm_head 0/1, Embeddings 0/4, MLP 96/208, Attention 80/332, Norms 0/215
5 derivatives checked
- apus-ailab/APUS-OpenJev-v1-9B-GGUF: Same weights, converted
- prithivMLmods/APUS-OpenJev-v1-9B-GGUF: Same weights, converted
- timfromhcs/APUS-OpenJev-v1-9B-GGUF: Same weights, converted
- apus-ailab/APUS-OpenJev-v1-9B-MLX-8bit: Quantization
- apus-ailab/APUS-OpenJev-v1-9B-MLX-4bit: Quantization