How to convert the exported model to gguf file? and run in Ollama server

[bhanuash7]

after exporting the model how can i convert to single .bin or .gguf file and later use that file to run ollama serevr support

[bhanuash7]

Traceback (most recent call last):
File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 1466, in
main()
File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 1460, in main
OutputFile.write_all(outfile, ftype, params, model, vocab, special_vocab,
File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 1117, in write_all
check_vocab_size(params, vocab, pad_vocab=pad_vocab)
File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 963, in check_vocab_size
raise Exception(msg)
Exception: Vocab size mismatch (model has 32000, but /home/ubuntu/LLaMA-Factory/export/test/tokenizer.model has 32001).

[hiyouga]

You might change the vocab size in finetuning. Use default template to fine-tune the llama model

[bhanuash7]

i have used default template and finetuned it and still the same error

Writing converted.bin, format 1
Traceback (most recent call last):
File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 1466, in
main()
File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 1460, in main
OutputFile.write_all(outfile, ftype, params, model, vocab, special_vocab,
File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 1117, in write_all
check_vocab_size(params, vocab, pad_vocab=pad_vocab)
File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 963, in check_vocab_size
raise Exception(msg)
Exception: Vocab size mismatch (model has 32000, but /home/ubuntu/LLaMA-Factory/export/llama2/travel/tokenizer.model has 32001).

[bhanuash7]

ubuntu@ip-172-31-43-50:~/LLaMA-Factory/ollama$ python3 llm/llama.cpp/convert.py ~/LLaMA-Factory/export/llama2/travel --outtype f16 --outfile converted.bin Loading model file /home/ubuntu/LLaMA-Factory/export/llama2/travel/pytorch_model-00001-of-00003.bin Loading model file /home/ubuntu/LLaMA-Factory/export/llama2/travel/pytorch_model-00001-of-00003.bin Loading model file /home/ubuntu/LLaMA-Factory/export/llama2/travel/pytorch_model-00002-of-00003.bin Loading model file /home/ubuntu/LLaMA-Factory/export/llama2/travel/pytorch_model-00003-of-00003.bin params = Params(n_vocab=32000, n_embd=5120, n_layer=40, n_ctx=4096, n_ff=13824, n_head=40, n_head_kv=40, n_experts=None, n_experts_used=None, f_norm_eps=1e-05, rope_scaling_type=None, f_rope_freq_base=10000.0, f_rope_scale=None, n_orig_ctx=None, rope_finetuned=None, ftype=<GGMLFileType.MostlyF16: 1>, path_model=PosixPath('/home/ubuntu/LLaMA-Factory/export/llama2/travel')) Found vocab files: {'spm': PosixPath('/home/ubuntu/LLaMA-Factory/export/llama2/travel/tokenizer.model'), 'bpe': None, 'hfft': None} Loading vocab file PosixPath('/home/ubuntu/LLaMA-Factory/export/llama2/travel/tokenizer.model'), type 'spm' Vocab info: <SentencePieceVocab with 32000 base tokens and 1 added tokens> Special vocab info: <SpecialVocab with 0 merges, special tokens {'bos': 1, 'eos': 2, 'pad': 0}, add special tokens {'bos': True, 'eos': False}> Permuting layer 0 Permuting layer 1 Permuting layer 2 Permuting layer 3 Permuting layer 4 Permuting layer 5 Permuting layer 6 Permuting layer 7 Permuting layer 8 Permuting layer 9 Permuting layer 10 Permuting layer 11 Permuting layer 12 Permuting layer 13 Permuting layer 14 Permuting layer 15 Permuting layer 16 Permuting layer 17 Permuting layer 18 Permuting layer 19 Permuting layer 20 Permuting layer 21 Permuting layer 22 Permuting layer 23 Permuting layer 24 Permuting layer 25 Permuting layer 26 Permuting layer 27 Permuting layer 28 Permuting layer 29 Permuting layer 30 Permuting layer 31 Permuting layer 32 Permuting layer 33 Permuting layer 34 Permuting layer 35 Permuting layer 36 Permuting layer 37 Permuting layer 38 Permuting layer 39 model.embed_tokens.weight -> token_embd.weight | F16 | [32000, 5120] model.layers.0.self_attn.q_proj.weight -> blk.0.attn_q.weight | F16 | [5120, 5120] model.layers.0.self_attn.k_proj.weight -> blk.0.attn_k.weight | F16 | [5120, 5120] model.layers.0.self_attn.v_proj.weight -> blk.0.attn_v.weight | F16 | [5120, 5120] model.layers.0.self_attn.o_proj.weight -> blk.0.attn_output.weight | F16 | [5120, 5120] model.layers.0.mlp.gate_proj.weight -> blk.0.ffn_gate.weight | F16 | [13824, 5120] model.layers.0.mlp.up_proj.weight -> blk.0.ffn_up.weight | F16 | [13824, 5120] model.layers.0.mlp.down_proj.weight -> blk.0.ffn_down.weight | F16 | [5120, 13824] model.layers.0.input_layernorm.weight -> blk.0.attn_norm.weight | F16 | [5120] model.layers.0.post_attention_layernorm.weight -> blk.0.ffn_norm.weight | F16 | [5120] model.layers.1.self_attn.q_proj.weight -> blk.1.attn_q.weight | F16 | [5120, 5120] model.layers.1.self_attn.k_proj.weight -> blk.1.attn_k.weight | F16 | [5120, 5120] model.layers.1.self_attn.v_proj.weight -> blk.1.attn_v.weight | F16 | [5120, 5120] model.layers.1.self_attn.o_proj.weight -> blk.1.attn_output.weight | F16 | [5120, 5120] model.layers.1.mlp.gate_proj.weight -> blk.1.ffn_gate.weight | F16 | [13824, 5120] model.layers.1.mlp.up_proj.weight -> blk.1.ffn_up.weight | F16 | [13824, 5120] model.layers.1.mlp.down_proj.weight -> blk.1.ffn_down.weight | F16 | [5120, 13824] model.layers.1.input_layernorm.weight -> blk.1.attn_norm.weight | F16 | [5120] model.layers.1.post_attention_layernorm.weight -> blk.1.ffn_norm.weight | F16 | [5120] model.layers.2.self_attn.q_proj.weight -> blk.2.attn_q.weight | F16 | [5120, 5120] model.layers.2.self_attn.k_proj.weight -> blk.2.attn_k.weight | F16 | [5120, 5120] model.layers.2.self_attn.v_proj.weight -> blk.2.attn_v.weight | F16 | [5120, 5120] model.layers.2.self_attn.o_proj.weight -> blk.2.attn_output.weight | F16 | [5120, 5120] model.layers.2.mlp.gate_proj.weight -> blk.2.ffn_gate.weight | F16 | [13824, 5120] model.layers.2.mlp.up_proj.weight -> blk.2.ffn_up.weight | F16 | [13824, 5120] model.layers.2.mlp.down_proj.weight -> blk.2.ffn_down.weight | F16 | [5120, 13824] model.layers.2.input_layernorm.weight -> blk.2.attn_norm.weight | F16 | [5120] model.layers.2.post_attention_layernorm.weight -> blk.2.ffn_norm.weight | F16 | [5120] model.layers.3.self_attn.q_proj.weight -> blk.3.attn_q.weight | F16 | [5120, 5120] model.layers.3.self_attn.k_proj.weight -> blk.3.attn_k.weight | F16 | [5120, 5120] model.layers.3.self_attn.v_proj.weight -> blk.3.attn_v.weight | F16 | [5120, 5120] model.layers.3.self_attn.o_proj.weight -> blk.3.attn_output.weight | F16 | [5120, 5120] model.layers.3.mlp.gate_proj.weight -> blk.3.ffn_gate.weight | F16 | [13824, 5120] model.layers.3.mlp.up_proj.weight -> blk.3.ffn_up.weight | F16 | [13824, 5120] model.layers.3.mlp.down_proj.weight -> blk.3.ffn_down.weight | F16 | [5120, 13824] model.layers.3.input_layernorm.weight -> blk.3.attn_norm.weight | F16 | [5120] model.layers.3.post_attention_layernorm.weight -> blk.3.ffn_norm.weight | F16 | [5120] model.layers.4.self_attn.q_proj.weight -> blk.4.attn_q.weight | F16 | [5120, 5120] model.layers.4.self_attn.k_proj.weight -> blk.4.attn_k.weight | F16 | [5120, 5120] model.layers.4.self_attn.v_proj.weight -> blk.4.attn_v.weight | F16 | [5120, 5120] model.layers.4.self_attn.o_proj.weight -> blk.4.attn_output.weight | F16 | [5120, 5120] model.layers.4.mlp.gate_proj.weight -> blk.4.ffn_gate.weight | F16 | [13824, 5120] model.layers.4.mlp.up_proj.weight -> blk.4.ffn_up.weight | F16 | [13824, 5120] model.layers.4.mlp.down_proj.weight -> blk.4.ffn_down.weight | F16 | [5120, 13824] model.layers.4.input_layernorm.weight -> blk.4.attn_norm.weight | F16 | [5120] model.layers.4.post_attention_layernorm.weight -> blk.4.ffn_norm.weight | F16 | [5120] model.layers.5.self_attn.q_proj.weight -> blk.5.attn_q.weight | F16 | [5120, 5120] model.layers.5.self_attn.k_proj.weight -> blk.5.attn_k.weight | F16 | [5120, 5120] model.layers.5.self_attn.v_proj.weight -> blk.5.attn_v.weight | F16 | [5120, 5120] model.layers.5.self_attn.o_proj.weight -> blk.5.attn_output.weight | F16 | [5120, 5120] model.layers.5.mlp.gate_proj.weight -> blk.5.ffn_gate.weight | F16 | [13824, 5120] model.layers.5.mlp.up_proj.weight -> blk.5.ffn_up.weight | F16 | [13824, 5120] model.layers.5.mlp.down_proj.weight -> blk.5.ffn_down.weight | F16 | [5120, 13824] model.layers.5.input_layernorm.weight -> blk.5.attn_norm.weight | F16 | [5120] model.layers.5.post_attention_layernorm.weight -> blk.5.ffn_norm.weight | F16 | [5120] model.layers.6.self_attn.q_proj.weight -> blk.6.attn_q.weight | F16 | [5120, 5120] model.layers.6.self_attn.k_proj.weight -> blk.6.attn_k.weight | F16 | [5120, 5120] model.layers.6.self_attn.v_proj.weight -> blk.6.attn_v.weight | F16 | [5120, 5120] model.layers.6.self_attn.o_proj.weight -> blk.6.attn_output.weight | F16 | [5120, 5120] model.layers.6.mlp.gate_proj.weight -> blk.6.ffn_gate.weight | F16 | [13824, 5120] model.layers.6.mlp.up_proj.weight -> blk.6.ffn_up.weight | F16 | [13824, 5120] model.layers.6.mlp.down_proj.weight -> blk.6.ffn_down.weight | F16 | [5120, 13824] model.layers.6.input_layernorm.weight -> blk.6.attn_norm.weight | F16 | [5120] model.layers.6.post_attention_layernorm.weight -> blk.6.ffn_norm.weight | F16 | [5120] model.layers.7.self_attn.q_proj.weight -> blk.7.attn_q.weight | F16 | [5120, 5120] model.layers.7.self_attn.k_proj.weight -> blk.7.attn_k.weight | F16 | [5120, 5120] model.layers.7.self_attn.v_proj.weight -> blk.7.attn_v.weight | F16 | [5120, 5120] model.layers.7.self_attn.o_proj.weight -> blk.7.attn_output.weight | F16 | [5120, 5120] model.layers.7.mlp.gate_proj.weight -> blk.7.ffn_gate.weight | F16 | [13824, 5120] model.layers.7.mlp.up_proj.weight -> blk.7.ffn_up.weight | F16 | [13824, 5120] model.layers.7.mlp.down_proj.weight -> blk.7.ffn_down.weight | F16 | [5120, 13824] model.layers.7.input_layernorm.weight -> blk.7.attn_norm.weight | F16 | [5120] model.layers.7.post_attention_layernorm.weight -> blk.7.ffn_norm.weight | F16 | [5120] model.layers.8.self_attn.q_proj.weight -> blk.8.attn_q.weight | F16 | [5120, 5120] model.layers.8.self_attn.k_proj.weight -> blk.8.attn_k.weight | F16 | [5120, 5120] model.layers.8.self_attn.v_proj.weight -> blk.8.attn_v.weight | F16 | [5120, 5120] model.layers.8.self_attn.o_proj.weight -> blk.8.attn_output.weight | F16 | [5120, 5120] model.layers.8.mlp.gate_proj.weight -> blk.8.ffn_gate.weight | F16 | [13824, 5120] model.layers.8.mlp.up_proj.weight -> blk.8.ffn_up.weight | F16 | [13824, 5120] model.layers.8.mlp.down_proj.weight -> blk.8.ffn_down.weight | F16 | [5120, 13824] model.layers.8.input_layernorm.weight -> blk.8.attn_norm.weight | F16 | [5120] model.layers.8.post_attention_layernorm.weight -> blk.8.ffn_norm.weight | F16 | [5120] model.layers.9.self_attn.q_proj.weight -> blk.9.attn_q.weight | F16 | [5120, 5120] model.layers.9.self_attn.k_proj.weight -> blk.9.attn_k.weight | F16 | [5120, 5120] model.layers.9.self_attn.v_proj.weight -> blk.9.attn_v.weight | F16 | [5120, 5120] model.layers.9.self_attn.o_proj.weight -> blk.9.attn_output.weight | F16 | [5120, 5120] model.layers.9.mlp.gate_proj.weight -> blk.9.ffn_gate.weight | F16 | [13824, 5120] model.layers.9.mlp.up_proj.weight -> blk.9.ffn_up.weight | F16 | [13824, 5120] model.layers.9.mlp.down_proj.weight -> blk.9.ffn_down.weight | F16 | [5120, 13824] model.layers.9.input_layernorm.weight -> blk.9.attn_norm.weight | F16 | [5120] model.layers.9.post_attention_layernorm.weight -> blk.9.ffn_norm.weight | F16 | [5120] model.layers.10.self_attn.q_proj.weight -> blk.10.attn_q.weight | F16 | [5120, 5120] model.layers.10.self_attn.k_proj.weight -> blk.10.attn_k.weight | F16 | [5120, 5120] model.layers.10.self_attn.v_proj.weight -> blk.10.attn_v.weight | F16 | [5120, 5120] model.layers.10.self_attn.o_proj.weight -> blk.10.attn_output.weight | F16 | [5120, 5120] model.layers.10.mlp.gate_proj.weight -> blk.10.ffn_gate.weight | F16 | [13824, 5120] model.layers.10.mlp.up_proj.weight -> blk.10.ffn_up.weight | F16 | [13824, 5120] model.layers.10.mlp.down_proj.weight -> blk.10.ffn_down.weight | F16 | [5120, 13824] model.layers.10.input_layernorm.weight -> blk.10.attn_norm.weight | F16 | [5120] model.layers.10.post_attention_layernorm.weight -> blk.10.ffn_norm.weight | F16 | [5120] model.layers.11.self_attn.q_proj.weight -> blk.11.attn_q.weight | F16 | [5120, 5120] model.layers.11.self_attn.k_proj.weight -> blk.11.attn_k.weight | F16 | [5120, 5120] model.layers.11.self_attn.v_proj.weight -> blk.11.attn_v.weight | F16 | [5120, 5120] model.layers.11.self_attn.o_proj.weight -> blk.11.attn_output.weight | F16 | [5120, 5120] model.layers.11.mlp.gate_proj.weight -> blk.11.ffn_gate.weight | F16 | [13824, 5120] model.layers.11.mlp.up_proj.weight -> blk.11.ffn_up.weight | F16 | [13824, 5120] model.layers.11.mlp.down_proj.weight -> blk.11.ffn_down.weight | F16 | [5120, 13824] model.layers.11.input_layernorm.weight -> blk.11.attn_norm.weight | F16 | [5120] model.layers.11.post_attention_layernorm.weight -> blk.11.ffn_norm.weight | F16 | [5120] model.layers.12.self_attn.q_proj.weight -> blk.12.attn_q.weight | F16 | [5120, 5120] model.layers.12.self_attn.k_proj.weight -> blk.12.attn_k.weight | F16 | [5120, 5120] model.layers.12.self_attn.v_proj.weight -> blk.12.attn_v.weight | F16 | [5120, 5120] model.layers.12.self_attn.o_proj.weight -> blk.12.attn_output.weight | F16 | [5120, 5120] model.layers.12.mlp.gate_proj.weight -> blk.12.ffn_gate.weight | F16 | [13824, 5120] model.layers.12.mlp.up_proj.weight -> blk.12.ffn_up.weight | F16 | [13824, 5120] model.layers.12.mlp.down_proj.weight -> blk.12.ffn_down.weight | F16 | [5120, 13824] model.layers.12.input_layernorm.weight -> blk.12.attn_norm.weight | F16 | [5120] model.layers.12.post_attention_layernorm.weight -> blk.12.ffn_norm.weight | F16 | [5120] model.layers.13.self_attn.q_proj.weight -> blk.13.attn_q.weight | F16 | [5120, 5120] model.layers.13.self_attn.k_proj.weight -> blk.13.attn_k.weight | F16 | [5120, 5120] model.layers.13.self_attn.v_proj.weight -> blk.13.attn_v.weight | F16 | [5120, 5120] model.layers.13.self_attn.o_proj.weight -> blk.13.attn_output.weight | F16 | [5120, 5120] model.layers.13.mlp.gate_proj.weight -> blk.13.ffn_gate.weight | F16 | [13824, 5120] model.layers.13.mlp.up_proj.weight -> blk.13.ffn_up.weight | F16 | [13824, 5120] model.layers.13.mlp.down_proj.weight -> blk.13.ffn_down.weight | F16 | [5120, 13824] model.layers.13.input_layernorm.weight -> blk.13.attn_norm.weight | F16 | [5120] model.layers.13.post_attention_layernorm.weight -> blk.13.ffn_norm.weight | F16 | [5120] model.layers.14.self_attn.q_proj.weight -> blk.14.attn_q.weight | F16 | [5120, 5120] model.layers.14.self_attn.k_proj.weight -> blk.14.attn_k.weight | F16 | [5120, 5120] model.layers.14.self_attn.v_proj.weight -> blk.14.attn_v.weight | F16 | [5120, 5120] model.layers.14.self_attn.o_proj.weight -> blk.14.attn_output.weight | F16 | [5120, 5120] model.layers.14.mlp.gate_proj.weight -> blk.14.ffn_gate.weight | F16 | [13824, 5120] model.layers.14.mlp.up_proj.weight -> blk.14.ffn_up.weight | F16 | [13824, 5120] model.layers.14.mlp.down_proj.weight -> blk.14.ffn_down.weight | F16 | [5120, 13824] model.layers.14.input_layernorm.weight -> blk.14.attn_norm.weight | F16 | [5120] model.layers.14.post_attention_layernorm.weight -> blk.14.ffn_norm.weight | F16 | [5120] model.layers.15.self_attn.q_proj.weight -> blk.15.attn_q.weight | F16 | [5120, 5120] model.layers.15.self_attn.k_proj.weight -> blk.15.attn_k.weight | F16 | [5120, 5120] model.layers.15.self_attn.v_proj.weight -> blk.15.attn_v.weight | F16 | [5120, 5120] model.layers.15.self_attn.o_proj.weight -> blk.15.attn_output.weight | F16 | [5120, 5120] model.layers.15.mlp.gate_proj.weight -> blk.15.ffn_gate.weight | F16 | [13824, 5120] model.layers.15.mlp.up_proj.weight -> blk.15.ffn_up.weight | F16 | [13824, 5120] model.layers.15.mlp.down_proj.weight -> blk.15.ffn_down.weight | F16 | [5120, 13824] model.layers.15.input_layernorm.weight -> blk.15.attn_norm.weight | F16 | [5120] model.layers.15.post_attention_layernorm.weight -> blk.15.ffn_norm.weight | F16 | [5120] model.layers.16.self_attn.q_proj.weight -> blk.16.attn_q.weight | F16 | [5120, 5120] model.layers.16.self_attn.k_proj.weight -> blk.16.attn_k.weight | F16 | [5120, 5120] model.layers.16.self_attn.v_proj.weight -> blk.16.attn_v.weight | F16 | [5120, 5120] model.layers.16.self_attn.o_proj.weight -> blk.16.attn_output.weight | F16 | [5120, 5120] model.layers.16.mlp.gate_proj.weight -> blk.16.ffn_gate.weight | F16 | [13824, 5120] model.layers.16.mlp.up_proj.weight -> blk.16.ffn_up.weight | F16 | [13824, 5120] model.layers.16.mlp.down_proj.weight -> blk.16.ffn_down.weight | F16 | [5120, 13824] model.layers.16.input_layernorm.weight -> blk.16.attn_norm.weight | F16 | [5120] model.layers.16.post_attention_layernorm.weight -> blk.16.ffn_norm.weight | F16 | [5120] model.layers.17.self_attn.q_proj.weight -> blk.17.attn_q.weight | F16 | [5120, 5120] model.layers.17.self_attn.k_proj.weight -> blk.17.attn_k.weight | F16 | [5120, 5120] model.layers.17.self_attn.v_proj.weight -> blk.17.attn_v.weight | F16 | [5120, 5120] model.layers.17.self_attn.o_proj.weight -> blk.17.attn_output.weight | F16 | [5120, 5120] model.layers.17.mlp.gate_proj.weight -> blk.17.ffn_gate.weight | F16 | [13824, 5120] model.layers.17.mlp.up_proj.weight -> blk.17.ffn_up.weight | F16 | [13824, 5120] model.layers.17.mlp.down_proj.weight -> blk.17.ffn_down.weight | F16 | [5120, 13824] model.layers.17.input_layernorm.weight -> blk.17.attn_norm.weight | F16 | [5120] model.layers.17.post_attention_layernorm.weight -> blk.17.ffn_norm.weight | F16 | [5120] model.layers.18.self_attn.q_proj.weight -> blk.18.attn_q.weight | F16 | [5120, 5120] model.layers.18.self_attn.k_proj.weight -> blk.18.attn_k.weight | F16 | [5120, 5120] model.layers.18.self_attn.v_proj.weight -> blk.18.attn_v.weight | F16 | [5120, 5120] model.layers.18.self_attn.o_proj.weight -> blk.18.attn_output.weight | F16 | [5120, 5120] model.layers.18.mlp.gate_proj.weight -> blk.18.ffn_gate.weight | F16 | [13824, 5120] model.layers.18.mlp.up_proj.weight -> blk.18.ffn_up.weight | F16 | [13824, 5120] model.layers.18.mlp.down_proj.weight -> blk.18.ffn_down.weight | F16 | [5120, 13824] model.layers.18.input_layernorm.weight -> blk.18.attn_norm.weight | F16 | [5120] model.layers.18.post_attention_layernorm.weight -> blk.18.ffn_norm.weight | F16 | [5120] model.layers.19.self_attn.q_proj.weight -> blk.19.attn_q.weight | F16 | [5120, 5120] model.layers.19.self_attn.k_proj.weight -> blk.19.attn_k.weight | F16 | [5120, 5120] model.layers.19.self_attn.v_proj.weight -> blk.19.attn_v.weight | F16 | [5120, 5120] model.layers.19.self_attn.o_proj.weight -> blk.19.attn_output.weight | F16 | [5120, 5120] model.layers.19.mlp.gate_proj.weight -> blk.19.ffn_gate.weight | F16 | [13824, 5120] model.layers.19.mlp.up_proj.weight -> blk.19.ffn_up.weight | F16 | [13824, 5120] model.layers.19.mlp.down_proj.weight -> blk.19.ffn_down.weight | F16 | [5120, 13824] model.layers.19.input_layernorm.weight -> blk.19.attn_norm.weight | F16 | [5120] model.layers.19.post_attention_layernorm.weight -> blk.19.ffn_norm.weight | F16 | [5120] model.layers.20.self_attn.q_proj.weight -> blk.20.attn_q.weight | F16 | [5120, 5120] model.layers.20.self_attn.k_proj.weight -> blk.20.attn_k.weight | F16 | [5120, 5120] model.layers.20.self_attn.v_proj.weight -> blk.20.attn_v.weight | F16 | [5120, 5120] model.layers.20.self_attn.o_proj.weight -> blk.20.attn_output.weight | F16 | [5120, 5120] model.layers.20.mlp.gate_proj.weight -> blk.20.ffn_gate.weight | F16 | [13824, 5120] model.layers.20.mlp.up_proj.weight -> blk.20.ffn_up.weight | F16 | [13824, 5120] model.layers.20.mlp.down_proj.weight -> blk.20.ffn_down.weight | F16 | [5120, 13824] model.layers.20.input_layernorm.weight -> blk.20.attn_norm.weight | F16 | [5120] model.layers.20.post_attention_layernorm.weight -> blk.20.ffn_norm.weight | F16 | [5120] model.layers.21.self_attn.q_proj.weight -> blk.21.attn_q.weight | F16 | [5120, 5120] model.layers.21.self_attn.k_proj.weight -> blk.21.attn_k.weight | F16 | [5120, 5120] model.layers.21.self_attn.v_proj.weight -> blk.21.attn_v.weight | F16 | [5120, 5120] model.layers.21.self_attn.o_proj.weight -> blk.21.attn_output.weight | F16 | [5120, 5120] model.layers.21.mlp.gate_proj.weight -> blk.21.ffn_gate.weight | F16 | [13824, 5120] model.layers.21.mlp.up_proj.weight -> blk.21.ffn_up.weight | F16 | [13824, 5120] model.layers.21.mlp.down_proj.weight -> blk.21.ffn_down.weight | F16 | [5120, 13824] model.layers.21.input_layernorm.weight -> blk.21.attn_norm.weight | F16 | [5120] model.layers.21.post_attention_layernorm.weight -> blk.21.ffn_norm.weight | F16 | [5120] model.layers.22.self_attn.q_proj.weight -> blk.22.attn_q.weight | F16 | [5120, 5120] model.layers.22.self_attn.k_proj.weight -> blk.22.attn_k.weight | F16 | [5120, 5120] model.layers.22.self_attn.v_proj.weight -> blk.22.attn_v.weight | F16 | [5120, 5120] model.layers.22.self_attn.o_proj.weight -> blk.22.attn_output.weight | F16 | [5120, 5120] model.layers.22.mlp.gate_proj.weight -> blk.22.ffn_gate.weight | F16 | [13824, 5120] model.layers.22.mlp.up_proj.weight -> blk.22.ffn_up.weight | F16 | [13824, 5120] model.layers.22.mlp.down_proj.weight -> blk.22.ffn_down.weight | F16 | [5120, 13824] model.layers.22.input_layernorm.weight -> blk.22.attn_norm.weight | F16 | [5120] model.layers.22.post_attention_layernorm.weight -> blk.22.ffn_norm.weight | F16 | [5120] model.layers.23.self_attn.q_proj.weight -> blk.23.attn_q.weight | F16 | [5120, 5120] model.layers.23.self_attn.k_proj.weight -> blk.23.attn_k.weight | F16 | [5120, 5120] model.layers.23.self_attn.v_proj.weight -> blk.23.attn_v.weight | F16 | [5120, 5120] model.layers.23.self_attn.o_proj.weight -> blk.23.attn_output.weight | F16 | [5120, 5120] model.layers.23.mlp.gate_proj.weight -> blk.23.ffn_gate.weight | F16 | [13824, 5120] model.layers.23.mlp.up_proj.weight -> blk.23.ffn_up.weight | F16 | [13824, 5120] model.layers.23.mlp.down_proj.weight -> blk.23.ffn_down.weight | F16 | [5120, 13824] model.layers.23.input_layernorm.weight -> blk.23.attn_norm.weight | F16 | [5120] model.layers.23.post_attention_layernorm.weight -> blk.23.ffn_norm.weight | F16 | [5120] model.layers.24.self_attn.q_proj.weight -> blk.24.attn_q.weight | F16 | [5120, 5120] model.layers.24.self_attn.k_proj.weight -> blk.24.attn_k.weight | F16 | [5120, 5120] model.layers.24.self_attn.v_proj.weight -> blk.24.attn_v.weight | F16 | [5120, 5120] model.layers.24.self_attn.o_proj.weight -> blk.24.attn_output.weight | F16 | [5120, 5120] model.layers.24.mlp.gate_proj.weight -> blk.24.ffn_gate.weight | F16 | [13824, 5120] model.layers.24.mlp.up_proj.weight -> blk.24.ffn_up.weight | F16 | [13824, 5120] model.layers.24.mlp.down_proj.weight -> blk.24.ffn_down.weight | F16 | [5120, 13824] model.layers.24.input_layernorm.weight -> blk.24.attn_norm.weight | F16 | [5120] model.layers.24.post_attention_layernorm.weight -> blk.24.ffn_norm.weight | F16 | [5120] model.layers.25.self_attn.q_proj.weight -> blk.25.attn_q.weight | F16 | [5120, 5120] model.layers.25.self_attn.k_proj.weight -> blk.25.attn_k.weight | F16 | [5120, 5120] model.layers.25.self_attn.v_proj.weight -> blk.25.attn_v.weight | F16 | [5120, 5120] model.layers.25.self_attn.o_proj.weight -> blk.25.attn_output.weight | F16 | [5120, 5120] model.layers.25.mlp.gate_proj.weight -> blk.25.ffn_gate.weight | F16 | [13824, 5120] model.layers.25.mlp.up_proj.weight -> blk.25.ffn_up.weight | F16 | [13824, 5120] model.layers.25.mlp.down_proj.weight -> blk.25.ffn_down.weight | F16 | [5120, 13824] model.layers.25.input_layernorm.weight -> blk.25.attn_norm.weight | F16 | [5120] model.layers.25.post_attention_layernorm.weight -> blk.25.ffn_norm.weight | F16 | [5120] model.layers.26.self_attn.q_proj.weight -> blk.26.attn_q.weight | F16 | [5120, 5120] model.layers.26.self_attn.k_proj.weight -> blk.26.attn_k.weight | F16 | [5120, 5120] model.layers.26.self_attn.v_proj.weight -> blk.26.attn_v.weight | F16 | [5120, 5120] model.layers.26.self_attn.o_proj.weight -> blk.26.attn_output.weight | F16 | [5120, 5120] model.layers.26.mlp.gate_proj.weight -> blk.26.ffn_gate.weight | F16 | [13824, 5120] model.layers.26.mlp.up_proj.weight -> blk.26.ffn_up.weight | F16 | [13824, 5120] model.layers.26.mlp.down_proj.weight -> blk.26.ffn_down.weight | F16 | [5120, 13824] model.layers.26.input_layernorm.weight -> blk.26.attn_norm.weight | F16 | [5120] model.layers.26.post_attention_layernorm.weight -> blk.26.ffn_norm.weight | F16 | [5120] model.layers.27.self_attn.q_proj.weight -> blk.27.attn_q.weight | F16 | [5120, 5120] model.layers.27.self_attn.k_proj.weight -> blk.27.attn_k.weight | F16 | [5120, 5120] model.layers.27.self_attn.v_proj.weight -> blk.27.attn_v.weight | F16 | [5120, 5120] model.layers.27.self_attn.o_proj.weight -> blk.27.attn_output.weight | F16 | [5120, 5120] model.layers.27.mlp.gate_proj.weight -> blk.27.ffn_gate.weight | F16 | [13824, 5120] model.layers.27.mlp.up_proj.weight -> blk.27.ffn_up.weight | F16 | [13824, 5120] model.layers.27.mlp.down_proj.weight -> blk.27.ffn_down.weight | F16 | [5120, 13824] model.layers.27.input_layernorm.weight -> blk.27.attn_norm.weight | F16 | [5120] model.layers.27.post_attention_layernorm.weight -> blk.27.ffn_norm.weight | F16 | [5120] model.layers.28.self_attn.q_proj.weight -> blk.28.attn_q.weight | F16 | [5120, 5120] model.layers.28.self_attn.k_proj.weight -> blk.28.attn_k.weight | F16 | [5120, 5120] model.layers.28.self_attn.v_proj.weight -> blk.28.attn_v.weight | F16 | [5120, 5120] model.layers.28.self_attn.o_proj.weight -> blk.28.attn_output.weight | F16 | [5120, 5120] model.layers.28.mlp.gate_proj.weight -> blk.28.ffn_gate.weight | F16 | [13824, 5120] model.layers.28.mlp.up_proj.weight -> blk.28.ffn_up.weight | F16 | [13824, 5120] model.layers.28.mlp.down_proj.weight -> blk.28.ffn_down.weight | F16 | [5120, 13824] model.layers.28.input_layernorm.weight -> blk.28.attn_norm.weight | F16 | [5120] model.layers.28.post_attention_layernorm.weight -> blk.28.ffn_norm.weight | F16 | [5120] model.layers.29.self_attn.q_proj.weight -> blk.29.attn_q.weight | F16 | [5120, 5120] model.layers.29.self_attn.k_proj.weight -> blk.29.attn_k.weight | F16 | [5120, 5120] model.layers.29.self_attn.v_proj.weight -> blk.29.attn_v.weight | F16 | [5120, 5120] model.layers.29.self_attn.o_proj.weight -> blk.29.attn_output.weight | F16 | [5120, 5120] model.layers.29.mlp.gate_proj.weight -> blk.29.ffn_gate.weight | F16 | [13824, 5120] model.layers.29.mlp.up_proj.weight -> blk.29.ffn_up.weight | F16 | [13824, 5120] model.layers.29.mlp.down_proj.weight -> blk.29.ffn_down.weight | F16 | [5120, 13824] model.layers.29.input_layernorm.weight -> blk.29.attn_norm.weight | F16 | [5120] model.layers.29.post_attention_layernorm.weight -> blk.29.ffn_norm.weight | F16 | [5120] model.layers.30.self_attn.q_proj.weight -> blk.30.attn_q.weight | F16 | [5120, 5120] model.layers.30.self_attn.k_proj.weight -> blk.30.attn_k.weight | F16 | [5120, 5120] model.layers.30.self_attn.v_proj.weight -> blk.30.attn_v.weight | F16 | [5120, 5120] model.layers.30.self_attn.o_proj.weight -> blk.30.attn_output.weight | F16 | [5120, 5120] model.layers.30.mlp.gate_proj.weight -> blk.30.ffn_gate.weight | F16 | [13824, 5120] model.layers.30.mlp.up_proj.weight -> blk.30.ffn_up.weight | F16 | [13824, 5120] model.layers.30.mlp.down_proj.weight -> blk.30.ffn_down.weight | F16 | [5120, 13824] model.layers.30.input_layernorm.weight -> blk.30.attn_norm.weight | F16 | [5120] model.layers.30.post_attention_layernorm.weight -> blk.30.ffn_norm.weight | F16 | [5120] model.layers.31.self_attn.q_proj.weight -> blk.31.attn_q.weight | F16 | [5120, 5120] model.layers.31.self_attn.k_proj.weight -> blk.31.attn_k.weight | F16 | [5120, 5120] model.layers.31.self_attn.v_proj.weight -> blk.31.attn_v.weight | F16 | [5120, 5120] model.layers.31.self_attn.o_proj.weight -> blk.31.attn_output.weight | F16 | [5120, 5120] model.layers.31.mlp.gate_proj.weight -> blk.31.ffn_gate.weight | F16 | [13824, 5120] model.layers.31.mlp.up_proj.weight -> blk.31.ffn_up.weight | F16 | [13824, 5120] model.layers.31.mlp.down_proj.weight -> blk.31.ffn_down.weight | F16 | [5120, 13824] model.layers.31.input_layernorm.weight -> blk.31.attn_norm.weight | F16 | [5120] model.layers.31.post_attention_layernorm.weight -> blk.31.ffn_norm.weight | F16 | [5120] model.layers.32.self_attn.q_proj.weight -> blk.32.attn_q.weight | F16 | [5120, 5120] model.layers.32.self_attn.k_proj.weight -> blk.32.attn_k.weight | F16 | [5120, 5120] model.layers.32.self_attn.v_proj.weight -> blk.32.attn_v.weight | F16 | [5120, 5120] model.layers.32.self_attn.o_proj.weight -> blk.32.attn_output.weight | F16 | [5120, 5120] model.layers.32.mlp.gate_proj.weight -> blk.32.ffn_gate.weight | F16 | [13824, 5120] model.layers.32.mlp.up_proj.weight -> blk.32.ffn_up.weight | F16 | [13824, 5120] model.layers.32.mlp.down_proj.weight -> blk.32.ffn_down.weight | F16 | [5120, 13824] model.layers.32.input_layernorm.weight -> blk.32.attn_norm.weight | F16 | [5120] model.layers.32.post_attention_layernorm.weight -> blk.32.ffn_norm.weight | F16 | [5120] model.layers.33.self_attn.q_proj.weight -> blk.33.attn_q.weight | F16 | [5120, 5120] model.layers.33.self_attn.k_proj.weight -> blk.33.attn_k.weight | F16 | [5120, 5120] model.layers.33.self_attn.v_proj.weight -> blk.33.attn_v.weight | F16 | [5120, 5120] model.layers.33.self_attn.o_proj.weight -> blk.33.attn_output.weight | F16 | [5120, 5120] model.layers.33.mlp.gate_proj.weight -> blk.33.ffn_gate.weight | F16 | [13824, 5120] model.layers.33.mlp.up_proj.weight -> blk.33.ffn_up.weight | F16 | [13824, 5120] model.layers.33.mlp.down_proj.weight -> blk.33.ffn_down.weight | F16 | [5120, 13824] model.layers.33.input_layernorm.weight -> blk.33.attn_norm.weight | F16 | [5120] model.layers.33.post_attention_layernorm.weight -> blk.33.ffn_norm.weight | F16 | [5120] model.layers.34.self_attn.q_proj.weight -> blk.34.attn_q.weight | F16 | [5120, 5120] model.layers.34.self_attn.k_proj.weight -> blk.34.attn_k.weight | F16 | [5120, 5120] model.layers.34.self_attn.v_proj.weight -> blk.34.attn_v.weight | F16 | [5120, 5120] model.layers.34.self_attn.o_proj.weight -> blk.34.attn_output.weight | F16 | [5120, 5120] model.layers.34.mlp.gate_proj.weight -> blk.34.ffn_gate.weight | F16 | [13824, 5120] model.layers.34.mlp.up_proj.weight -> blk.34.ffn_up.weight | F16 | [13824, 5120] model.layers.34.mlp.down_proj.weight -> blk.34.ffn_down.weight | F16 | [5120, 13824] model.layers.34.input_layernorm.weight -> blk.34.attn_norm.weight | F16 | [5120] model.layers.34.post_attention_layernorm.weight -> blk.34.ffn_norm.weight | F16 | [5120] model.layers.35.self_attn.q_proj.weight -> blk.35.attn_q.weight | F16 | [5120, 5120] model.layers.35.self_attn.k_proj.weight -> blk.35.attn_k.weight | F16 | [5120, 5120] model.layers.35.self_attn.v_proj.weight -> blk.35.attn_v.weight | F16 | [5120, 5120] model.layers.35.self_attn.o_proj.weight -> blk.35.attn_output.weight | F16 | [5120, 5120] model.layers.35.mlp.gate_proj.weight -> blk.35.ffn_gate.weight | F16 | [13824, 5120] model.layers.35.mlp.up_proj.weight -> blk.35.ffn_up.weight | F16 | [13824, 5120] model.layers.35.mlp.down_proj.weight -> blk.35.ffn_down.weight | F16 | [5120, 13824] model.layers.35.input_layernorm.weight -> blk.35.attn_norm.weight | F16 | [5120] model.layers.35.post_attention_layernorm.weight -> blk.35.ffn_norm.weight | F16 | [5120] model.layers.36.self_attn.q_proj.weight -> blk.36.attn_q.weight | F16 | [5120, 5120] model.layers.36.self_attn.k_proj.weight -> blk.36.attn_k.weight | F16 | [5120, 5120] model.layers.36.self_attn.v_proj.weight -> blk.36.attn_v.weight | F16 | [5120, 5120] model.layers.36.self_attn.o_proj.weight -> blk.36.attn_output.weight | F16 | [5120, 5120] model.layers.36.mlp.gate_proj.weight -> blk.36.ffn_gate.weight | F16 | [13824, 5120] model.layers.36.mlp.up_proj.weight -> blk.36.ffn_up.weight | F16 | [13824, 5120] model.layers.36.mlp.down_proj.weight -> blk.36.ffn_down.weight | F16 | [5120, 13824] model.layers.36.input_layernorm.weight -> blk.36.attn_norm.weight | F16 | [5120] model.layers.36.post_attention_layernorm.weight -> blk.36.ffn_norm.weight | F16 | [5120] model.layers.37.self_attn.q_proj.weight -> blk.37.attn_q.weight | F16 | [5120, 5120] model.layers.37.self_attn.k_proj.weight -> blk.37.attn_k.weight | F16 | [5120, 5120] model.layers.37.self_attn.v_proj.weight -> blk.37.attn_v.weight | F16 | [5120, 5120] model.layers.37.self_attn.o_proj.weight -> blk.37.attn_output.weight | F16 | [5120, 5120] model.layers.37.mlp.gate_proj.weight -> blk.37.ffn_gate.weight | F16 | [13824, 5120] model.layers.37.mlp.up_proj.weight -> blk.37.ffn_up.weight | F16 | [13824, 5120] model.layers.37.mlp.down_proj.weight -> blk.37.ffn_down.weight | F16 | [5120, 13824] model.layers.37.input_layernorm.weight -> blk.37.attn_norm.weight | F16 | [5120] model.layers.37.post_attention_layernorm.weight -> blk.37.ffn_norm.weight | F16 | [5120] model.layers.38.self_attn.q_proj.weight -> blk.38.attn_q.weight | F16 | [5120, 5120] model.layers.38.self_attn.k_proj.weight -> blk.38.attn_k.weight | F16 | [5120, 5120] model.layers.38.self_attn.v_proj.weight -> blk.38.attn_v.weight | F16 | [5120, 5120] model.layers.38.self_attn.o_proj.weight -> blk.38.attn_output.weight | F16 | [5120, 5120] model.layers.38.mlp.gate_proj.weight -> blk.38.ffn_gate.weight | F16 | [13824, 5120] model.layers.38.mlp.up_proj.weight -> blk.38.ffn_up.weight | F16 | [13824, 5120] model.layers.38.mlp.down_proj.weight -> blk.38.ffn_down.weight | F16 | [5120, 13824] model.layers.38.input_layernorm.weight -> blk.38.attn_norm.weight | F16 | [5120] model.layers.38.post_attention_layernorm.weight -> blk.38.ffn_norm.weight | F16 | [5120] model.layers.39.self_attn.q_proj.weight -> blk.39.attn_q.weight | F16 | [5120, 5120] model.layers.39.self_attn.k_proj.weight -> blk.39.attn_k.weight | F16 | [5120, 5120] model.layers.39.self_attn.v_proj.weight -> blk.39.attn_v.weight | F16 | [5120, 5120] model.layers.39.self_attn.o_proj.weight -> blk.39.attn_output.weight | F16 | [5120, 5120] model.layers.39.mlp.gate_proj.weight -> blk.39.ffn_gate.weight | F16 | [13824, 5120] model.layers.39.mlp.up_proj.weight -> blk.39.ffn_up.weight | F16 | [13824, 5120] model.layers.39.mlp.down_proj.weight -> blk.39.ffn_down.weight | F16 | [5120, 13824] model.layers.39.input_layernorm.weight -> blk.39.attn_norm.weight | F16 | [5120] model.layers.39.post_attention_layernorm.weight -> blk.39.ffn_norm.weight | F16 | [5120] model.norm.weight -> output_norm.weight | F16 | [5120] lm_head.weight -> output.weight | F16 | [32000, 5120] Writing converted.bin, format 1 Traceback (most recent call last): File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 1466, in <module> main() File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 1460, in main OutputFile.write_all(outfile, ftype, params, model, vocab, special_vocab, File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 1117, in write_all check_vocab_size(params, vocab, pad_vocab=pad_vocab) File "/home/ubuntu/LLaMA-Factory/ollama/llm/llama.cpp/convert.py", line 963, in check_vocab_size raise Exception(msg) Exception: Vocab size mismatch (model has 32000, but /home/ubuntu/LLaMA-Factory/export/llama2/travel/tokenizer.model has 32001). ubuntu@ip-172-31-43-50:~/LLaMA-Factory/ollama$

[bhanuash7]

any update?