elinas

/

alpaca-30b-lora-int4

like 68

Any help?

Is this a Pytorch version incompatibility?

--

Traceback (most recent call last):
File "C:\Users\vdrut\Deep\text-diffusion-webui\text-generation-webui\server.py", line 275, in
shared.model, shared.tokenizer = load_model(shared.model_name)
File "C:\Users\vdrut\Deep\text-diffusion-webui\text-generation-webui\modules\models.py", line 102, in load_model
model = load_quantized(model_name)
File "C:\Users\vdrut\Deep\text-diffusion-webui\text-generation-webui\modules\GPTQ_loader.py", line 114, in load_quantized
model = load_quant(str(path_to_model), str(pt_path), shared.args.wbits, shared.args.groupsize, kernel_switch_threshold=threshold)
File "C:\Users\vdrut\Deep\text-diffusion-webui\text-generation-webui\modules\GPTQ_loader.py", line 45, in _load_quant
model.load_state_dict(torch.load(checkpoint))
File "C:\Users\vdrut\Deep\text-diffusion-webui\installer_files\env\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for LlamaForCausalLM:
Missing key(s) in state_dict: "model.layers.0.self_attn.k_proj.qzeros", "model.layers.0.self_attn.o_proj.qzeros", "model.layers.0.self_attn.q_proj.qzeros", "model.layers.0.self_attn.v_proj.qzeros", "model.layers.0.mlp.down_proj.qzeros", "model.layers.0.mlp.gate_proj.qzeros", "model.layers.0.mlp.up_proj.qzeros", "model.layers.1.self_attn.k_proj.qzeros", "model.layers.1.self_attn.o_proj.qzeros", "model.layers.1.self_attn.q_proj.qzeros", "model.layers.1.self_attn.v_proj.qzeros", "model.layers.1.mlp.down_proj.qzeros", "model.layers.1.mlp.gate_proj.qzeros", "model.layers.1.mlp.up_proj.qzeros", "model.layers.2.self_attn.k_proj.qzeros", "model.layers.2.self_attn.o_proj.qzeros", "model.layers.2.self_attn.q_proj.qzeros", "model.layers.2.self_attn.v_proj.qzeros", "model.layers.2.mlp.down_proj.qzeros", "model.layers.2.mlp.gate_proj.qzeros", "model.layers.2.mlp.up_proj.qzeros", "model.layers.3.self_attn.k_proj.qzeros", "model.layers.3.self_attn.o_proj.qzeros", 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"model.layers.54.mlp.gate_proj.qzeros", "model.layers.54.mlp.up_proj.qzeros", "model.layers.55.self_attn.k_proj.qzeros", "model.layers.55.self_attn.o_proj.qzeros", "model.layers.55.self_attn.q_proj.qzeros", "model.layers.55.self_attn.v_proj.qzeros", "model.layers.55.mlp.down_proj.qzeros", "model.layers.55.mlp.gate_proj.qzeros", "model.layers.55.mlp.up_proj.qzeros", "model.layers.56.self_attn.k_proj.qzeros", "model.layers.56.self_attn.o_proj.qzeros", "model.layers.56.self_attn.q_proj.qzeros", "model.layers.56.self_attn.v_proj.qzeros", "model.layers.56.mlp.down_proj.qzeros", "model.layers.56.mlp.gate_proj.qzeros", "model.layers.56.mlp.up_proj.qzeros", "model.layers.57.self_attn.k_proj.qzeros", "model.layers.57.self_attn.o_proj.qzeros", "model.layers.57.self_attn.q_proj.qzeros", "model.layers.57.self_attn.v_proj.qzeros", "model.layers.57.mlp.down_proj.qzeros", "model.layers.57.mlp.gate_proj.qzeros", "model.layers.57.mlp.up_proj.qzeros", "model.layers.58.self_attn.k_proj.qzeros", "model.layers.58.self_attn.o_proj.qzeros", "model.layers.58.self_attn.q_proj.qzeros", "model.layers.58.self_attn.v_proj.qzeros", "model.layers.58.mlp.down_proj.qzeros", "model.layers.58.mlp.gate_proj.qzeros", "model.layers.58.mlp.up_proj.qzeros", "model.layers.59.self_attn.k_proj.qzeros", "model.layers.59.self_attn.o_proj.qzeros", "model.layers.59.self_attn.q_proj.qzeros", "model.layers.59.self_attn.v_proj.qzeros", "model.layers.59.mlp.down_proj.qzeros", "model.layers.59.mlp.gate_proj.qzeros", "model.layers.59.mlp.up_proj.qzeros".
Unexpected key(s) in state_dict: "model.layers.0.self_attn.k_proj.zeros", "model.layers.0.self_attn.o_proj.zeros", "model.layers.0.self_attn.q_proj.zeros", "model.layers.0.self_attn.v_proj.zeros", "model.layers.0.mlp.down_proj.zeros", "model.layers.0.mlp.gate_proj.zeros", "model.layers.0.mlp.up_proj.zeros", "model.layers.1.self_attn.k_proj.zeros", "model.layers.1.self_attn.o_proj.zeros", "model.layers.1.self_attn.q_proj.zeros", "model.layers.1.self_attn.v_proj.zeros", "model.layers.1.mlp.down_proj.zeros", "model.layers.1.mlp.gate_proj.zeros", "model.layers.1.mlp.up_proj.zeros", "model.layers.2.self_attn.k_proj.zeros", "model.layers.2.self_attn.o_proj.zeros", "model.layers.2.self_attn.q_proj.zeros", "model.layers.2.self_attn.v_proj.zeros", "model.layers.2.mlp.down_proj.zeros", "model.layers.2.mlp.gate_proj.zeros", "model.layers.2.mlp.up_proj.zeros", "model.layers.3.self_attn.k_proj.zeros", "model.layers.3.self_attn.o_proj.zeros", "model.layers.3.self_attn.q_proj.zeros", "model.layers.3.self_attn.v_proj.zeros", "model.layers.3.mlp.down_proj.zeros", "model.layers.3.mlp.gate_proj.zeros", "model.layers.3.mlp.up_proj.zeros", "model.layers.4.self_attn.k_proj.zeros", "model.layers.4.self_attn.o_proj.zeros", "model.layers.4.self_attn.q_proj.zeros", "model.layers.4.self_attn.v_proj.zeros", "model.layers.4.mlp.down_proj.zeros", "model.layers.4.mlp.gate_proj.zeros", "model.layers.4.mlp.up_proj.zeros", "model.layers.5.self_attn.k_proj.zeros", "model.layers.5.self_attn.o_proj.zeros", "model.layers.5.self_attn.q_proj.zeros", "model.layers.5.self_attn.v_proj.zeros", "model.layers.5.mlp.down_proj.zeros", "model.layers.5.mlp.gate_proj.zeros", "model.layers.5.mlp.up_proj.zeros", "model.layers.6.self_attn.k_proj.zeros", "model.layers.6.self_attn.o_proj.zeros", "model.layers.6.self_attn.q_proj.zeros", "model.layers.6.self_attn.v_proj.zeros", "model.layers.6.mlp.down_proj.zeros", "model.layers.6.mlp.gate_proj.zeros", "model.layers.6.mlp.up_proj.zeros", "model.layers.7.self_attn.k_proj.zeros", "model.layers.7.self_attn.o_proj.zeros", "model.layers.7.self_attn.q_proj.zeros", "model.layers.7.self_attn.v_proj.zeros", "model.layers.7.mlp.down_proj.zeros", "model.layers.7.mlp.gate_proj.zeros", "model.layers.7.mlp.up_proj.zeros", "model.layers.8.self_attn.k_proj.zeros", "model.layers.8.self_attn.o_proj.zeros", "model.layers.8.self_attn.q_proj.zeros", "model.layers.8.self_attn.v_proj.zeros", "model.layers.8.mlp.down_proj.zeros", "model.layers.8.mlp.gate_proj.zeros", "model.layers.8.mlp.up_proj.zeros", "model.layers.9.self_attn.k_proj.zeros", "model.layers.9.self_attn.o_proj.zeros", "model.layers.9.self_attn.q_proj.zeros", "model.layers.9.self_attn.v_proj.zeros", "model.layers.9.mlp.down_proj.zeros", "model.layers.9.mlp.gate_proj.zeros", "model.layers.9.mlp.up_proj.zeros", "model.layers.10.self_attn.k_proj.zeros", "model.layers.10.self_attn.o_proj.zeros", "model.layers.10.self_attn.q_proj.zeros", "model.layers.10.self_attn.v_proj.zeros", "model.layers.10.mlp.down_proj.zeros", "model.layers.10.mlp.gate_proj.zeros", "model.layers.10.mlp.up_proj.zeros", "model.layers.11.self_attn.k_proj.zeros", "model.layers.11.self_attn.o_proj.zeros", "model.layers.11.self_attn.q_proj.zeros", "model.layers.11.self_attn.v_proj.zeros", "model.layers.11.mlp.down_proj.zeros", "model.layers.11.mlp.gate_proj.zeros", "model.layers.11.mlp.up_proj.zeros", "model.layers.12.self_attn.k_proj.zeros", "model.layers.12.self_attn.o_proj.zeros", "model.layers.12.self_attn.q_proj.zeros", "model.layers.12.self_attn.v_proj.zeros", "model.layers.12.mlp.down_proj.zeros", "model.layers.12.mlp.gate_proj.zeros", "model.layers.12.mlp.up_proj.zeros", "model.layers.13.self_attn.k_proj.zeros", "model.layers.13.self_attn.o_proj.zeros", "model.layers.13.self_attn.q_proj.zeros", "model.layers.13.self_attn.v_proj.zeros", "model.layers.13.mlp.down_proj.zeros", "model.layers.13.mlp.gate_proj.zeros", "model.layers.13.mlp.up_proj.zeros", "model.layers.14.self_attn.k_proj.zeros", "model.layers.14.self_attn.o_proj.zeros", "model.layers.14.self_attn.q_proj.zeros", "model.layers.14.self_attn.v_proj.zeros", "model.layers.14.mlp.down_proj.zeros", "model.layers.14.mlp.gate_proj.zeros", "model.layers.14.mlp.up_proj.zeros", "model.layers.15.self_attn.k_proj.zeros", "model.layers.15.self_attn.o_proj.zeros", "model.layers.15.self_attn.q_proj.zeros", "model.layers.15.self_attn.v_proj.zeros", "model.layers.15.mlp.down_proj.zeros", "model.layers.15.mlp.gate_proj.zeros", "model.layers.15.mlp.up_proj.zeros", "model.layers.16.self_attn.k_proj.zeros", "model.layers.16.self_attn.o_proj.zeros", "model.layers.16.self_attn.q_proj.zeros", "model.layers.16.self_attn.v_proj.zeros", "model.layers.16.mlp.down_proj.zeros", "model.layers.16.mlp.gate_proj.zeros", "model.layers.16.mlp.up_proj.zeros", "model.layers.17.self_attn.k_proj.zeros", "model.layers.17.self_attn.o_proj.zeros", "model.layers.17.self_attn.q_proj.zeros", 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"model.layers.24.self_attn.q_proj.zeros", "model.layers.24.self_attn.v_proj.zeros", "model.layers.24.mlp.down_proj.zeros", "model.layers.24.mlp.gate_proj.zeros", "model.layers.24.mlp.up_proj.zeros", "model.layers.25.self_attn.k_proj.zeros", "model.layers.25.self_attn.o_proj.zeros", "model.layers.25.self_attn.q_proj.zeros", "model.layers.25.self_attn.v_proj.zeros", "model.layers.25.mlp.down_proj.zeros", "model.layers.25.mlp.gate_proj.zeros", "model.layers.25.mlp.up_proj.zeros", "model.layers.26.self_attn.k_proj.zeros", "model.layers.26.self_attn.o_proj.zeros", "model.layers.26.self_attn.q_proj.zeros", "model.layers.26.self_attn.v_proj.zeros", "model.layers.26.mlp.down_proj.zeros", "model.layers.26.mlp.gate_proj.zeros", "model.layers.26.mlp.up_proj.zeros", "model.layers.27.self_attn.k_proj.zeros", "model.layers.27.self_attn.o_proj.zeros", "model.layers.27.self_attn.q_proj.zeros", "model.layers.27.self_attn.v_proj.zeros", "model.layers.27.mlp.down_proj.zeros", 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"model.layers.34.mlp.down_proj.zeros", "model.layers.34.mlp.gate_proj.zeros", "model.layers.34.mlp.up_proj.zeros", "model.layers.35.self_attn.k_proj.zeros", "model.layers.35.self_attn.o_proj.zeros", "model.layers.35.self_attn.q_proj.zeros", "model.layers.35.self_attn.v_proj.zeros", "model.layers.35.mlp.down_proj.zeros", "model.layers.35.mlp.gate_proj.zeros", "model.layers.35.mlp.up_proj.zeros", "model.layers.36.self_attn.k_proj.zeros", "model.layers.36.self_attn.o_proj.zeros", "model.layers.36.self_attn.q_proj.zeros", "model.layers.36.self_attn.v_proj.zeros", "model.layers.36.mlp.down_proj.zeros", "model.layers.36.mlp.gate_proj.zeros", "model.layers.36.mlp.up_proj.zeros", "model.layers.37.self_attn.k_proj.zeros", "model.layers.37.self_attn.o_proj.zeros", "model.layers.37.self_attn.q_proj.zeros", "model.layers.37.self_attn.v_proj.zeros", "model.layers.37.mlp.down_proj.zeros", "model.layers.37.mlp.gate_proj.zeros", "model.layers.37.mlp.up_proj.zeros", 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"model.layers.48.self_attn.q_proj.zeros", "model.layers.48.self_attn.v_proj.zeros", "model.layers.48.mlp.down_proj.zeros", "model.layers.48.mlp.gate_proj.zeros", "model.layers.48.mlp.up_proj.zeros", "model.layers.49.self_attn.k_proj.zeros", "model.layers.49.self_attn.o_proj.zeros", "model.layers.49.self_attn.q_proj.zeros", "model.layers.49.self_attn.v_proj.zeros", "model.layers.49.mlp.down_proj.zeros", "model.layers.49.mlp.gate_proj.zeros", "model.layers.49.mlp.up_proj.zeros", "model.layers.50.self_attn.k_proj.zeros", "model.layers.50.self_attn.o_proj.zeros", "model.layers.50.self_attn.q_proj.zeros", "model.layers.50.self_attn.v_proj.zeros", "model.layers.50.mlp.down_proj.zeros", "model.layers.50.mlp.gate_proj.zeros", "model.layers.50.mlp.up_proj.zeros", "model.layers.51.self_attn.k_proj.zeros", "model.layers.51.self_attn.o_proj.zeros", "model.layers.51.self_attn.q_proj.zeros", "model.layers.51.self_attn.v_proj.zeros", "model.layers.51.mlp.down_proj.zeros", "model.layers.51.mlp.gate_proj.zeros", "model.layers.51.mlp.up_proj.zeros", "model.layers.52.self_attn.k_proj.zeros", "model.layers.52.self_attn.o_proj.zeros", "model.layers.52.self_attn.q_proj.zeros", "model.layers.52.self_attn.v_proj.zeros", "model.layers.52.mlp.down_proj.zeros", "model.layers.52.mlp.gate_proj.zeros", "model.layers.52.mlp.up_proj.zeros", "model.layers.53.self_attn.k_proj.zeros", "model.layers.53.self_attn.o_proj.zeros", "model.layers.53.self_attn.q_proj.zeros", "model.layers.53.self_attn.v_proj.zeros", "model.layers.53.mlp.down_proj.zeros", "model.layers.53.mlp.gate_proj.zeros", "model.layers.53.mlp.up_proj.zeros", "model.layers.54.self_attn.k_proj.zeros", "model.layers.54.self_attn.o_proj.zeros", "model.layers.54.self_attn.q_proj.zeros", "model.layers.54.self_attn.v_proj.zeros", "model.layers.54.mlp.down_proj.zeros", "model.layers.54.mlp.gate_proj.zeros", "model.layers.54.mlp.up_proj.zeros", "model.layers.55.self_attn.k_proj.zeros", "model.layers.55.self_attn.o_proj.zeros", "model.layers.55.self_attn.q_proj.zeros", "model.layers.55.self_attn.v_proj.zeros", "model.layers.55.mlp.down_proj.zeros", "model.layers.55.mlp.gate_proj.zeros", "model.layers.55.mlp.up_proj.zeros", "model.layers.56.self_attn.k_proj.zeros", "model.layers.56.self_attn.o_proj.zeros", "model.layers.56.self_attn.q_proj.zeros", "model.layers.56.self_attn.v_proj.zeros", "model.layers.56.mlp.down_proj.zeros", "model.layers.56.mlp.gate_proj.zeros", "model.layers.56.mlp.up_proj.zeros", "model.layers.57.self_attn.k_proj.zeros", "model.layers.57.self_attn.o_proj.zeros", "model.layers.57.self_attn.q_proj.zeros", "model.layers.57.self_attn.v_proj.zeros", "model.layers.57.mlp.down_proj.zeros", "model.layers.57.mlp.gate_proj.zeros", "model.layers.57.mlp.up_proj.zeros", "model.layers.58.self_attn.k_proj.zeros", "model.layers.58.self_attn.o_proj.zeros", "model.layers.58.self_attn.q_proj.zeros", "model.layers.58.self_attn.v_proj.zeros", "model.layers.58.mlp.down_proj.zeros", "model.layers.58.mlp.gate_proj.zeros", "model.layers.58.mlp.up_proj.zeros", "model.layers.59.self_attn.k_proj.zeros", "model.layers.59.self_attn.o_proj.zeros", "model.layers.59.self_attn.q_proj.zeros", "model.layers.59.self_attn.v_proj.zeros", "model.layers.59.mlp.down_proj.zeros", "model.layers.59.mlp.gate_proj.zeros", "model.layers.59.mlp.up_proj.zeros".
size mismatch for model.layers.0.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.0.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.0.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.0.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.0.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.0.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.0.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.1.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.1.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.1.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.1.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.1.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.1.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.1.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.2.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.2.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.2.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.2.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.2.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.2.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.2.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.3.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.3.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.3.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.3.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.3.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.3.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.3.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.4.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.4.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.4.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.4.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.4.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.4.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.4.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.5.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.5.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.5.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.5.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.5.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.5.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.5.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.6.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.6.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.6.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.6.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.6.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.6.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.6.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.7.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.7.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.7.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.7.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.7.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.7.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.7.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.8.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.8.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.8.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.8.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.8.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.8.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.8.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.9.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.9.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.9.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.9.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.9.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.9.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.9.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.10.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.10.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.10.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.10.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.10.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.10.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.10.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.11.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.11.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.11.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.11.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.11.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.11.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.11.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.12.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.12.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.12.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.12.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.12.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.12.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.12.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.13.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.13.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.13.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.13.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.13.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.13.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.13.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.14.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.14.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.14.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.14.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.14.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.14.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.14.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.15.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.15.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.15.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.15.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.15.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.15.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.15.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.16.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.16.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.16.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.16.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.16.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.16.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.16.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.17.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.17.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.17.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.17.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.17.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.17.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.17.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.18.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.18.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.18.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.18.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.18.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.18.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.18.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.19.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.19.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.19.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.19.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.19.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.19.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.19.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.20.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.20.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.20.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.20.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.20.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.20.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.20.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.21.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.21.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.21.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.21.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.21.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.21.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.21.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.22.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.22.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.22.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.22.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.22.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.22.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.22.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.23.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.23.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.23.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.23.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.23.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.23.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.23.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.24.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.24.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.24.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.24.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.24.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.24.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.24.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.25.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.25.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.25.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.25.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.25.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.25.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.25.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.26.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.26.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.26.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.26.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.26.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.26.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.26.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.27.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.27.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.27.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.27.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.27.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.27.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.27.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.28.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.28.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.28.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.28.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.28.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.28.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.28.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.29.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.29.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.29.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.29.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.29.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.29.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.29.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.30.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.30.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.30.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.30.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.30.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.30.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.30.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.31.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.31.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.31.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.31.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.31.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.31.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.31.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.32.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.32.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.32.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.32.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.32.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.32.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.32.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.33.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.33.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.33.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.33.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.33.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.33.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.33.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.34.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.34.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.34.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.34.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.34.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.34.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.34.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.35.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.35.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.35.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.35.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.35.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.35.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.35.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.36.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.36.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.36.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.36.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.36.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.36.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.36.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.37.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.37.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.37.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.37.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.37.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.37.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.37.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.38.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.38.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.38.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.38.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.38.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.38.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.38.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.39.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.39.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.39.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.39.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.39.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.39.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.39.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.40.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.40.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.40.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.40.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.40.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.40.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.40.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.41.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.41.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.41.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.41.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.41.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.41.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.41.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.42.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.42.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.42.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.42.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.42.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.42.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.42.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.43.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.43.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.43.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.43.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.43.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.43.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.43.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.44.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.44.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.44.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.44.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.44.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.44.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.44.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.45.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.45.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.45.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.45.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.45.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.45.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.45.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.46.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.46.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.46.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.46.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.46.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.46.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.46.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.47.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.47.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.47.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.47.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.47.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.47.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.47.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.48.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.48.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.48.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.48.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.48.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.48.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.48.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.49.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.49.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.49.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.49.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.49.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.49.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.49.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.50.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.50.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.50.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.50.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.50.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.50.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.50.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.51.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.51.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.51.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.51.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.51.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.51.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.51.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.52.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.52.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.52.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.52.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.52.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.52.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.52.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.53.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.53.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.53.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.53.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.53.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.53.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.53.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.54.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.54.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.54.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.54.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.54.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.54.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.54.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.55.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.55.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.55.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.55.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.55.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.55.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.55.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.56.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.56.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.56.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.56.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.56.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.56.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.56.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.57.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.57.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.57.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.57.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.57.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.57.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.57.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.58.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.58.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.58.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.58.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.58.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.58.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.58.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.59.self_attn.k_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.59.self_attn.o_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.59.self_attn.q_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.59.self_attn.v_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([52, 6656]).
size mismatch for model.layers.59.mlp.down_proj.scales: copying a param with shape torch.Size([6656, 1]) from checkpoint, the shape in current model is torch.Size([140, 6656]).
size mismatch for model.layers.59.mlp.gate_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
size mismatch for model.layers.59.mlp.up_proj.scales: copying a param with shape torch.Size([17920, 1]) from checkpoint, the shape in current model is torch.Size([52, 17920]).
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