prithivMLmods/QwQ-LCoT-7B-Instruct
LoRA-style vs Qwen/Qwen2.5-7B-Instruct. 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 112/196, lm_head 0/1
6 derivatives checked
- bartowski/QwQ-LCoT-7B-Instruct-GGUF: Same weights, converted
- mradermacher/QwQ-LCoT-7B-Instruct-i1-GGUF: Quantization
- mradermacher/QwQ-LCoT-7B-Instruct-GGUF: Same weights, converted
- itlwas/QwQ-LCoT-7B-Instruct-Q4_K_M-GGUF: Quantization
- csabakecskemeti/prithivMLmods.QwQ-LCoT-7B-Instruct-GGUF: Same weights, converted
- prithivMLmods/QwQ-LCoT-7B-Instruct-GGUF: LoRA-style