GPTQ models - are they deprecated?

[surak]

Every model I try ends up with a similar error. This, specifically, is Vicuna-13 from https://huggingface.co/4bit/vicuna-13b-GPTQ-4bit-128g

Those are the options I used for calling it:

python3 $BLABLADOR_DIR/fastchat/serve/model_worker.py \
        --controller $BLABLADOR_CONTROLLER:$BLABLADOR_CONTROLLER_PORT \
        --port $PORT \
        --worker http://localhost:$PORT \
        --num-gpus 1 \
        --model-path models/vicuna-13b-GPTQ-4bit-128g \
        --gptq-ckpt models/vicuna-13b-GPTQ-4bit-128g/vicuna-13b-4bit-128g.safetensors \
        --gptq-wbits 4 \
        --gptq-groupsize 128 \
        --gptq-act-order \

2024-09-05 18:35:55 | INFO | stdout | Loading GPTQ quantized model...
You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 - if you loaded a llama tokenizer from a GGUF file you can ignore this message
2024-09-05 18:35:55 | ERROR | stderr | /p/project1/ccstao/cstao05/FastChat/sc_venv_jureca/venv/lib/python3.11/site-packages/transformers/modeling_utils.py:4651: FutureWarning: `_is_quantized_training_enabled` is going to be deprecated in transformers 4.39.0. Please use `model.hf_quantizer.is_trainable` instead
2024-09-05 18:35:55 | ERROR | stderr |   warnings.warn(
2024-09-05 18:35:56 | INFO | stdout | Loading model ...
2024-09-05 18:36:03 | ERROR | stderr | Traceback (most recent call last):
2024-09-05 18:36:03 | ERROR | stderr |   File "/p/project/ccstao/cstao05/FastChat/fastchat/serve/model_worker.py", line 500, in <module>
2024-09-05 18:36:03 | ERROR | stderr |     args, worker = create_model_worker()
2024-09-05 18:36:03 | ERROR | stderr |                    ^^^^^^^^^^^^^^^^^^^^^
2024-09-05 18:36:03 | ERROR | stderr |   File "/p/project/ccstao/cstao05/FastChat/fastchat/serve/model_worker.py", line 471, in create_model_worker
2024-09-05 18:36:03 | ERROR | stderr |     worker = ModelWorker(
2024-09-05 18:36:03 | ERROR | stderr |              ^^^^^^^^^^^^
2024-09-05 18:36:03 | ERROR | stderr |   File "/p/project/ccstao/cstao05/FastChat/fastchat/serve/model_worker.py", line 80, in __init__
2024-09-05 18:36:03 | ERROR | stderr |     self.model, self.tokenizer = load_model(
2024-09-05 18:36:03 | ERROR | stderr |                                  ^^^^^^^^^^^
2024-09-05 18:36:03 | ERROR | stderr |   File "/p/project/ccstao/cstao05/FastChat/fastchat/model/model_adapter.py", line 328, in load_model
2024-09-05 18:36:03 | ERROR | stderr |     model, tokenizer = load_gptq_quantized(model_path, gptq_config)
2024-09-05 18:36:03 | ERROR | stderr |                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2024-09-05 18:36:03 | ERROR | stderr |   File "/p/project/ccstao/cstao05/FastChat/fastchat/modules/gptq.py", line 46, in load_gptq_quantized
2024-09-05 18:36:03 | ERROR | stderr |     model = load_quant(
2024-09-05 18:36:03 | ERROR | stderr |             ^^^^^^^^^^^
2024-09-05 18:36:03 | ERROR | stderr |   File "/p/project1/ccstao/cstao05/FastChat/fastchat/../repositories/GPTQ-for-LLaMa/llama.py", line 308, in load_quant
2024-09-05 18:36:03 | ERROR | stderr |     model.load_state_dict(safe_load(checkpoint))
2024-09-05 18:36:03 | ERROR | stderr |   File "/p/project1/ccstao/cstao05/FastChat/sc_venv_jureca/venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 2189, in load_state_dict
2024-09-05 18:36:03 | ERROR | stderr |     raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
2024-09-05 18:36:03 | ERROR | stderr | RuntimeError: Error(s) in loading state_dict for LlamaForCausalLM:
2024-09-05 18:36:03 | ERROR | stderr | 	Missing key(s) in state_dict: "model.layers.0.self_attn.k_proj.g_idx", "model.layers.0.self_attn.o_proj.g_idx", "model.layers.0.self_attn.q_proj.g_idx", "model.layers.0.self_attn.v_proj.g_idx", "model.layers.0.mlp.down_proj.g_idx", "model.layers.0.mlp.gate_proj.g_idx", "model.layers.0.mlp.up_proj.g_idx", "model.layers.1.self_attn.k_proj.g_idx", "model.layers.1.self_attn.o_proj.g_idx", "model.layers.1.self_attn.q_proj.g_idx", "model.layers.1.self_attn.v_proj.g_idx", "model.layers.1.mlp.down_proj.g_idx", "model.layers.1.mlp.gate_proj.g_idx", "model.layers.1.mlp.up_proj.g_idx", "model.layers.2.self_attn.k_proj.g_idx", "model.layers.2.self_attn.o_proj.g_idx", "model.layers.2.self_attn.q_proj.g_idx", "model.layers.2.self_attn.v_proj.g_idx", "model.layers.2.mlp.down_proj.g_idx", "model.layers.2.mlp.gate_proj.g_idx", "model.layers.2.mlp.up_proj.g_idx", "model.layers.3.self_attn.k_proj.g_idx", "model.layers.3.self_attn.o_proj.g_idx", "model.layers.3.self_attn.q_proj.g_idx", "model.layers.3.self_attn.v_proj.g_idx", "model.layers.3.mlp.down_proj.g_idx", "model.layers.3.mlp.gate_proj.g_idx", "model.layers.3.mlp.up_proj.g_idx", "model.layers.4.self_attn.k_proj.g_idx", "model.layers.4.self_attn.o_proj.g_idx", "model.layers.4.self_attn.q_proj.g_idx", "model.layers.4.self_attn.v_proj.g_idx", "model.layers.4.mlp.down_proj.g_idx", "model.layers.4.mlp.gate_proj.g_idx", "model.layers.4.mlp.up_proj.g_idx", "model.layers.5.self_attn.k_proj.g_idx", "model.layers.5.self_attn.o_proj.g_idx", "model.layers.5.self_attn.q_proj.g_idx", "model.layers.5.self_attn.v_proj.g_idx", "model.layers.5.mlp.down_proj.g_idx", "model.layers.5.mlp.gate_proj.g_idx", "model.layers.5.mlp.up_proj.g_idx", "model.layers.6.self_attn.k_proj.g_idx", "model.layers.6.self_attn.o_proj.g_idx", "model.layers.6.self_attn.q_proj.g_idx", "model.layers.6.self_attn.v_proj.g_idx", "model.layers.6.mlp.down_proj.g_idx", "model.layers.6.mlp.gate_proj.g_idx", "model.layers.6.mlp.up_proj.g_idx", "model.layers.7.self_attn.k_proj.g_idx", "model.layers.7.self_attn.o_proj.g_idx", "model.layers.7.self_attn.q_proj.g_idx", "model.layers.7.self_attn.v_proj.g_idx", "model.layers.7.mlp.down_proj.g_idx", "model.layers.7.mlp.gate_proj.g_idx", "model.layers.7.mlp.up_proj.g_idx", "model.layers.8.self_attn.k_proj.g_idx", "model.layers.8.self_attn.o_proj.g_idx", "model.layers.8.self_attn.q_proj.g_idx", "model.layers.8.self_attn.v_proj.g_idx", "model.layers.8.mlp.down_proj.g_idx", "model.layers.8.mlp.gate_proj.g_idx", "model.layers.8.mlp.up_proj.g_idx", "model.layers.9.self_attn.k_proj.g_idx", "model.layers.9.self_attn.o_proj.g_idx", "model.layers.9.self_attn.q_proj.g_idx", "model.layers.9.self_attn.v_proj.g_idx", "model.layers.9.mlp.down_proj.g_idx", "model.layers.9.mlp.gate_proj.g_idx", "model.layers.9.mlp.up_proj.g_idx", "model.layers.10.self_attn.k_proj.g_idx", "model.layers.10.self_attn.o_proj.g_idx", "model.layers.10.self_attn.q_proj.g_idx", "model.layers.10.self_attn.v_proj.g_idx", "model.layers.10.mlp.down_proj.g_idx", "model.layers.10.mlp.gate_proj.g_idx", "model.layers.10.mlp.up_proj.g_idx", "model.layers.11.self_attn.k_proj.g_idx", "model.layers.11.self_attn.o_proj.g_idx", "model.layers.11.self_attn.q_proj.g_idx", "model.layers.11.self_attn.v_proj.g_idx", "model.layers.11.mlp.down_proj.g_idx", "model.layers.11.mlp.gate_proj.g_idx", "model.layers.11.mlp.up_proj.g_idx", "model.layers.12.self_attn.k_proj.g_idx", "model.layers.12.self_attn.o_proj.g_idx", "model.layers.12.self_attn.q_proj.g_idx", "model.layers.12.self_attn.v_proj.g_idx", "model.layers.12.mlp.down_proj.g_idx", "model.layers.12.mlp.gate_proj.g_idx", "model.layers.12.mlp.up_proj.g_idx", "model.layers.13.self_attn.k_proj.g_idx", "model.layers.13.self_attn.o_proj.g_idx", "model.layers.13.self_attn.q_proj.g_idx", "model.layers.13.self_attn.v_proj.g_idx", "model.layers.13.mlp.down_proj.g_idx", "model.layers.13.mlp.gate_proj.g_idx", "model.layers.13.mlp.up_proj.g_idx", "model.layers.14.self_attn.k_proj.g_idx", "model.layers.14.self_attn.o_proj.g_idx", "model.layers.14.self_attn.q_proj.g_idx", "model.layers.14.self_attn.v_proj.g_idx", "model.layers.14.mlp.down_proj.g_idx", "model.layers.14.mlp.gate_proj.g_idx", "model.layers.14.mlp.up_proj.g_idx", "model.layers.15.self_attn.k_proj.g_idx", "model.layers.15.self_attn.o_proj.g_idx", "model.layers.15.self_attn.q_proj.g_idx", "model.layers.15.self_attn.v_proj.g_idx", "model.layers.15.mlp.down_proj.g_idx", "model.layers.15.mlp.gate_proj.g_idx", "model.layers.15.mlp.up_proj.g_idx", "model.layers.16.self_attn.k_proj.g_idx", "model.layers.16.self_attn.o_proj.g_idx", "model.layers.16.self_attn.q_proj.g_idx", "model.layers.16.self_attn.v_proj.g_idx", "model.layers.16.mlp.down_proj.g_idx", "model.layers.16.mlp.gate_proj.g_idx", "model.layers.16.mlp.up_proj.g_idx", "model.layers.17.self_attn.k_proj.g_idx", "model.layers.17.self_attn.o_proj.g_idx", "model.layers.17.self_attn.q_proj.g_idx", "model.layers.17.self_attn.v_proj.g_idx", "model.layers.17.mlp.down_proj.g_idx", "model.layers.17.mlp.gate_proj.g_idx", "model.layers.17.mlp.up_proj.g_idx", "model.layers.18.self_attn.k_proj.g_idx", "model.layers.18.self_attn.o_proj.g_idx", "model.layers.18.self_attn.q_proj.g_idx", "model.layers.18.self_attn.v_proj.g_idx", "model.layers.18.mlp.down_proj.g_idx", "model.layers.18.mlp.gate_proj.g_idx", "model.layers.18.mlp.up_proj.g_idx", "model.layers.19.self_attn.k_proj.g_idx", "model.layers.19.self_attn.o_proj.g_idx", "model.layers.19.self_attn.q_proj.g_idx", "model.layers.19.self_attn.v_proj.g_idx", "model.layers.19.mlp.down_proj.g_idx", "model.layers.19.mlp.gate_proj.g_idx", "model.layers.19.mlp.up_proj.g_idx", "model.layers.20.self_attn.k_proj.g_idx", "model.layers.20.self_attn.o_proj.g_idx", "model.layers.20.self_attn.q_proj.g_idx", "model.layers.20.self_attn.v_proj.g_idx", "model.layers.20.mlp.down_proj.g_idx", "model.layers.20.mlp.gate_proj.g_idx", "model.layers.20.mlp.up_proj.g_idx", "model.layers.21.self_attn.k_proj.g_idx", "model.layers.21.self_attn.o_proj.g_idx", "model.layers.21.self_attn.q_proj.g_idx", "model.layers.21.self_attn.v_proj.g_idx", "model.layers.21.mlp.down_proj.g_idx", "model.layers.21.mlp.gate_proj.g_idx", "model.layers.21.mlp.up_proj.g_idx", "model.layers.22.self_attn.k_proj.g_idx", "model.layers.22.self_attn.o_proj.g_idx", "model.layers.22.self_attn.q_proj.g_idx", "model.layers.22.self_attn.v_proj.g_idx", "model.layers.22.mlp.down_proj.g_idx", "model.layers.22.mlp.gate_proj.g_idx", "model.layers.22.mlp.up_proj.g_idx", "model.layers.23.self_attn.k_proj.g_idx", "model.layers.23.self_attn.o_proj.g_idx", "model.layers.23.self_attn.q_proj.g_idx", "model.layers.23.self_attn.v_proj.g_idx", "model.layers.23.mlp.down_proj.g_idx", "model.layers.23.mlp.gate_proj.g_idx", "model.layers.23.mlp.up_proj.g_idx", "model.layers.24.self_attn.k_proj.g_idx", "model.layers.24.self_attn.o_proj.g_idx", "model.layers.24.self_attn.q_proj.g_idx", "model.layers.24.self_attn.v_proj.g_idx", "model.layers.24.mlp.down_proj.g_idx", "model.layers.24.mlp.gate_proj.g_idx", "model.layers.24.mlp.up_proj.g_idx", "model.layers.25.self_attn.k_proj.g_idx", "model.layers.25.self_attn.o_proj.g_idx", "model.layers.25.self_attn.q_proj.g_idx", "model.layers.25.self_attn.v_proj.g_idx", "model.layers.25.mlp.down_proj.g_idx", "model.layers.25.mlp.gate_proj.g_idx", "model.layers.25.mlp.up_proj.g_idx", "model.layers.26.self_attn.k_proj.g_idx", "model.layers.26.self_attn.o_proj.g_idx", "model.layers.26.self_attn.q_proj.g_idx", "model.layers.26.self_attn.v_proj.g_idx", "model.layers.26.mlp.down_proj.g_idx", "model.layers.26.mlp.gate_proj.g_idx", "model.layers.26.mlp.up_proj.g_idx", "model.layers.27.self_attn.k_proj.g_idx", "model.layers.27.self_attn.o_proj.g_idx", "model.layers.27.self_attn.q_proj.g_idx", "model.layers.27.self_attn.v_proj.g_idx", "model.layers.27.mlp.down_proj.g_idx", "model.layers.27.mlp.gate_proj.g_idx", "model.layers.27.mlp.up_proj.g_idx", "model.layers.28.self_attn.k_proj.g_idx", "model.layers.28.self_attn.o_proj.g_idx", "model.layers.28.self_attn.q_proj.g_idx", "model.layers.28.self_attn.v_proj.g_idx", "model.layers.28.mlp.down_proj.g_idx", "model.layers.28.mlp.gate_proj.g_idx", "model.layers.28.mlp.up_proj.g_idx", "model.layers.29.self_attn.k_proj.g_idx", "model.layers.29.self_attn.o_proj.g_idx", "model.layers.29.self_attn.q_proj.g_idx", "model.layers.29.self_attn.v_proj.g_idx", "model.layers.29.mlp.down_proj.g_idx", "model.layers.29.mlp.gate_proj.g_idx", "model.layers.29.mlp.up_proj.g_idx", "model.layers.30.self_attn.k_proj.g_idx", "model.layers.30.self_attn.o_proj.g_idx", "model.layers.30.self_attn.q_proj.g_idx", "model.layers.30.self_attn.v_proj.g_idx", "model.layers.30.mlp.down_proj.g_idx", "model.layers.30.mlp.gate_proj.g_idx", "model.layers.30.mlp.up_proj.g_idx", "model.layers.31.self_attn.k_proj.g_idx", "model.layers.31.self_attn.o_proj.g_idx", "model.layers.31.self_attn.q_proj.g_idx", "model.layers.31.self_attn.v_proj.g_idx", "model.layers.31.mlp.down_proj.g_idx", "model.layers.31.mlp.gate_proj.g_idx", "model.layers.31.mlp.up_proj.g_idx", "model.layers.32.self_attn.k_proj.g_idx", "model.layers.32.self_attn.o_proj.g_idx", "model.layers.32.self_attn.q_proj.g_idx", "model.layers.32.self_attn.v_proj.g_idx", "model.layers.32.mlp.down_proj.g_idx", "model.layers.32.mlp.gate_proj.g_idx", "model.layers.32.mlp.up_proj.g_idx", "model.layers.33.self_attn.k_proj.g_idx", "model.layers.33.self_attn.o_proj.g_idx", "model.layers.33.self_attn.q_proj.g_idx", "model.layers.33.self_attn.v_proj.g_idx", "model.layers.33.mlp.down_proj.g_idx", "model.layers.33.mlp.gate_proj.g_idx", "model.layers.33.mlp.up_proj.g_idx", "model.layers.34.self_attn.k_proj.g_idx", "model.layers.34.self_attn.o_proj.g_idx", "model.layers.34.self_attn.q_proj.g_idx", "model.layers.34.self_attn.v_proj.g_idx", "model.layers.34.mlp.down_proj.g_idx", "model.layers.34.mlp.gate_proj.g_idx", "model.layers.34.mlp.up_proj.g_idx", "model.layers.35.self_attn.k_proj.g_idx", "model.layers.35.self_attn.o_proj.g_idx", "model.layers.35.self_attn.q_proj.g_idx", "model.layers.35.self_attn.v_proj.g_idx", "model.layers.35.mlp.down_proj.g_idx", "model.layers.35.mlp.gate_proj.g_idx", "model.layers.35.mlp.up_proj.g_idx", "model.layers.36.self_attn.k_proj.g_idx", "model.layers.36.self_attn.o_proj.g_idx", "model.layers.36.self_attn.q_proj.g_idx", "model.layers.36.self_attn.v_proj.g_idx", "model.layers.36.mlp.down_proj.g_idx", "model.layers.36.mlp.gate_proj.g_idx", "model.layers.36.mlp.up_proj.g_idx", "model.layers.37.self_attn.k_proj.g_idx", "model.layers.37.self_attn.o_proj.g_idx", "model.layers.37.self_attn.q_proj.g_idx", "model.layers.37.self_attn.v_proj.g_idx", "model.layers.37.mlp.down_proj.g_idx", "model.layers.37.mlp.gate_proj.g_idx", "model.layers.37.mlp.up_proj.g_idx", "model.layers.38.self_attn.k_proj.g_idx", "model.layers.38.self_attn.o_proj.g_idx", "model.layers.38.self_attn.q_proj.g_idx", "model.layers.38.self_attn.v_proj.g_idx", "model.layers.38.mlp.down_proj.g_idx", "model.layers.38.mlp.gate_proj.g_idx", "model.layers.38.mlp.up_proj.g_idx", "model.layers.39.self_attn.k_proj.g_idx", "model.layers.39.self_attn.o_proj.g_idx", "model.layers.39.self_attn.q_proj.g_idx", "model.layers.39.self_attn.v_proj.g_idx", "model.layers.39.mlp.down_proj.g_idx", "model.layers.39.mlp.gate_proj.g_idx", "model.layers.39.mlp.up_proj.g_idx".
2024-09-05 18:36:03 | ERROR | stderr | 	Unexpected key(s) in state_dict: "model.layers.0.self_attn.rotary_emb.inv_freq", "model.layers.0.self_attn.k_proj.bias", "model.layers.0.self_attn.o_proj.bias", "model.layers.0.self_attn.q_proj.bias", "model.layers.0.self_attn.v_proj.bias", "model.layers.0.mlp.down_proj.bias", "model.layers.0.mlp.gate_proj.bias", "model.layers.0.mlp.up_proj.bias", "model.layers.1.self_attn.rotary_emb.inv_freq", "model.layers.1.self_attn.k_proj.bias", "model.layers.1.self_attn.o_proj.bias", "model.layers.1.self_attn.q_proj.bias", "model.layers.1.self_attn.v_proj.bias", "model.layers.1.mlp.down_proj.bias", "model.layers.1.mlp.gate_proj.bias", "model.layers.1.mlp.up_proj.bias", "model.layers.2.self_attn.rotary_emb.inv_freq", "model.layers.2.self_attn.k_proj.bias", "model.layers.2.self_attn.o_proj.bias", "model.layers.2.self_attn.q_proj.bias", "model.layers.2.self_attn.v_proj.bias", "model.layers.2.mlp.down_proj.bias", "model.layers.2.mlp.gate_proj.bias", "model.layers.2.mlp.up_proj.bias", "model.layers.3.self_attn.rotary_emb.inv_freq", "model.layers.3.self_attn.k_proj.bias", "model.layers.3.self_attn.o_proj.bias", "model.layers.3.self_attn.q_proj.bias", "model.layers.3.self_attn.v_proj.bias", "model.layers.3.mlp.down_proj.bias", "model.layers.3.mlp.gate_proj.bias", "model.layers.3.mlp.up_proj.bias", "model.layers.4.self_attn.rotary_emb.inv_freq", "model.layers.4.self_attn.k_proj.bias", "model.layers.4.self_attn.o_proj.bias", "model.layers.4.self_attn.q_proj.bias", "model.layers.4.self_attn.v_proj.bias", "model.layers.4.mlp.down_proj.bias", "model.layers.4.mlp.gate_proj.bias", "model.layers.4.mlp.up_proj.bias", "model.layers.5.self_attn.rotary_emb.inv_freq", "model.layers.5.self_attn.k_proj.bias", "model.layers.5.self_attn.o_proj.bias", "model.layers.5.self_attn.q_proj.bias", "model.layers.5.self_attn.v_proj.bias", "model.layers.5.mlp.down_proj.bias", "model.layers.5.mlp.gate_proj.bias", "model.layers.5.mlp.up_proj.bias", "model.layers.6.self_attn.rotary_emb.inv_freq", "model.layers.6.self_attn.k_proj.bias", "model.layers.6.self_attn.o_proj.bias", "model.layers.6.self_attn.q_proj.bias", "model.layers.6.self_attn.v_proj.bias", "model.layers.6.mlp.down_proj.bias", "model.layers.6.mlp.gate_proj.bias", "model.layers.6.mlp.up_proj.bias", "model.layers.7.self_attn.rotary_emb.inv_freq", "model.layers.7.self_attn.k_proj.bias", "model.layers.7.self_attn.o_proj.bias", "model.layers.7.self_attn.q_proj.bias", "model.layers.7.self_attn.v_proj.bias", "model.layers.7.mlp.down_proj.bias", "model.layers.7.mlp.gate_proj.bias", "model.layers.7.mlp.up_proj.bias", "model.layers.8.self_attn.rotary_emb.inv_freq", "model.layers.8.self_attn.k_proj.bias", "model.layers.8.self_attn.o_proj.bias", "model.layers.8.self_attn.q_proj.bias", "model.layers.8.self_attn.v_proj.bias", "model.layers.8.mlp.down_proj.bias", "model.layers.8.mlp.gate_proj.bias", "model.layers.8.mlp.up_proj.bias", "model.layers.9.self_attn.rotary_emb.inv_freq", "model.layers.9.self_attn.k_proj.bias", "model.layers.9.self_attn.o_proj.bias", "model.layers.9.self_attn.q_proj.bias", "model.layers.9.self_attn.v_proj.bias", "model.layers.9.mlp.down_proj.bias", "model.layers.9.mlp.gate_proj.bias", "model.layers.9.mlp.up_proj.bias", "model.layers.10.self_attn.rotary_emb.inv_freq", "model.layers.10.self_attn.k_proj.bias", "model.layers.10.self_attn.o_proj.bias", "model.layers.10.self_attn.q_proj.bias", "model.layers.10.self_attn.v_proj.bias", "model.layers.10.mlp.down_proj.bias", "model.layers.10.mlp.gate_proj.bias", "model.layers.10.mlp.up_proj.bias", "model.layers.11.self_attn.rotary_emb.inv_freq", "model.layers.11.self_attn.k_proj.bias", "model.layers.11.self_attn.o_proj.bias", "model.layers.11.self_attn.q_proj.bias", "model.layers.11.self_attn.v_proj.bias", "model.layers.11.mlp.down_proj.bias", "model.layers.11.mlp.gate_proj.bias", "model.layers.11.mlp.up_proj.bias", "model.layers.12.self_attn.rotary_emb.inv_freq", "model.layers.12.self_attn.k_proj.bias", "model.layers.12.self_attn.o_proj.bias", "model.layers.12.self_attn.q_proj.bias", "model.layers.12.self_attn.v_proj.bias", "model.layers.12.mlp.down_proj.bias", "model.layers.12.mlp.gate_proj.bias", "model.layers.12.mlp.up_proj.bias", "model.layers.13.self_attn.rotary_emb.inv_freq", "model.layers.13.self_attn.k_proj.bias", "model.layers.13.self_attn.o_proj.bias", "model.layers.13.self_attn.q_proj.bias", "model.layers.13.self_attn.v_proj.bias", "model.layers.13.mlp.down_proj.bias", "model.layers.13.mlp.gate_proj.bias", "model.layers.13.mlp.up_proj.bias", "model.layers.14.self_attn.rotary_emb.inv_freq", "model.layers.14.self_attn.k_proj.bias", "model.layers.14.self_attn.o_proj.bias", "model.layers.14.self_attn.q_proj.bias", "model.layers.14.self_attn.v_proj.bias", "model.layers.14.mlp.down_proj.bias", "model.layers.14.mlp.gate_proj.bias", "model.layers.14.mlp.up_proj.bias", "model.layers.15.self_attn.rotary_emb.inv_freq", 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"model.layers.18.self_attn.k_proj.bias", "model.layers.18.self_attn.o_proj.bias", "model.layers.18.self_attn.q_proj.bias", "model.layers.18.self_attn.v_proj.bias", "model.layers.18.mlp.down_proj.bias", "model.layers.18.mlp.gate_proj.bias", "model.layers.18.mlp.up_proj.bias", "model.layers.19.self_attn.rotary_emb.inv_freq", "model.layers.19.self_attn.k_proj.bias", "model.layers.19.self_attn.o_proj.bias", "model.layers.19.self_attn.q_proj.bias", "model.layers.19.self_attn.v_proj.bias", "model.layers.19.mlp.down_proj.bias", "model.layers.19.mlp.gate_proj.bias", "model.layers.19.mlp.up_proj.bias", "model.layers.20.self_attn.rotary_emb.inv_freq", "model.layers.20.self_attn.k_proj.bias", "model.layers.20.self_attn.o_proj.bias", "model.layers.20.self_attn.q_proj.bias", "model.layers.20.self_attn.v_proj.bias", "model.layers.20.mlp.down_proj.bias", "model.layers.20.mlp.gate_proj.bias", "model.layers.20.mlp.up_proj.bias", "model.layers.21.self_attn.rotary_emb.inv_freq", 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srun: error: jrc0912: task 0: Exited with exit code 1