add tiny model for testing
Browse files- config.json +29 -0
- generation_config.json +6 -0
- make_tiny_model.py +54 -0
- model.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +3142 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
config.json
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{
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"_name_or_path": "meta-llama/Llama-2-7b-hf",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 256,
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"initializer_range": 0.02,
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"intermediate_size": 64,
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"max_position_embeddings": 256,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 4,
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"num_hidden_layers": 2,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.43.3",
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"use_cache": true,
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"vocab_size": 3000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.43.3"
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}
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make_tiny_model.py
ADDED
@@ -0,0 +1,54 @@
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import subprocess
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import shlex
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import torch
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from transformers import LlamaConfig, LlamaForCausalLM, LlamaTokenizerFast
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mname_from = "meta-llama/Llama-2-7b-hf"
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mname_tiny = "tiny-random-llama-2"
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vocab_keep_items = 3000
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config = LlamaConfig.from_pretrained(mname_from)
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# print("orig config", config)
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config.update(dict(
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hidden_size=256,
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intermediate_size=64,
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num_attention_heads=4,
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num_hidden_layers=2,
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max_position_embeddings=256,
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num_key_value_heads=4,
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vocab_size=vocab_keep_items,
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))
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print("new config", config)
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# create a tiny random model
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tiny_model = LlamaForCausalLM(config)
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print(f"num of params {tiny_model.num_parameters()}")
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# shrink it more and save
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tiny_model.bfloat16() # half-size
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tiny_model.save_pretrained(mname_tiny)
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# shrink the tokenizer from 32k to 3k vocab
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tokenizer_fast = LlamaTokenizerFast.from_pretrained(mname_from)
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tmp_dir = f"/tmp/{mname_from}"
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tokenizer_fast.save_pretrained(tmp_dir)
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# resize tokenizer.json (vocab.txt will be automatically resized on save_pretrained)
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# perl -0777 -pi -e 's|(2999).*|$1},"merges": []}}|msg' tokenizer.json # 0-indexed, so vocab_keep_items-1!
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closing_pat = '},"merges": []}}'
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cmd = (f"perl -0777 -pi -e 's|({vocab_keep_items-1}).*|$1{closing_pat}|msg' {tmp_dir}/tokenizer.json")
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#print(f"Running:\n{cmd}")
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result = subprocess.run(shlex.split(cmd), capture_output=True, text=True)
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#print(result)
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# reload with modified tokenizer
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tokenizer_fast_tiny = LlamaTokenizerFast.from_pretrained(tmp_dir)
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tokenizer_fast_tiny.save_pretrained(mname_tiny)
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# test the new model and tokenizer function
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model_inputs = tokenizer_fast_tiny("Making tiny model", return_tensors="pt")
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gen_tokens = tiny_model.generate(**model_inputs, max_new_tokens=100)
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print(tokenizer_fast_tiny.batch_decode(gen_tokens, skip_special_tokens=True))
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print("Random output should be expected, but no crashing")
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print(f"Model+Tokenizer saved in {mname_tiny}")
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model.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:220742e40f61948c19638f534b752b1ea40f8aa630a96ec6f50238ada62a8927
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size 4321984
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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1 |
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{
|
2 |
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|
3 |
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4 |
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5 |
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6 |
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{
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7 |
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"id": 0,
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8 |
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9 |
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10 |
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11 |
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|
12 |
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"normalized": false,
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13 |
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14 |
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},
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15 |
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{
|
16 |
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"id": 1,
|
17 |
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"content": "<s>",
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18 |
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19 |
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20 |
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21 |
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22 |
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"special": true
|
23 |
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},
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24 |
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{
|
25 |
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"id": 2,
|
26 |
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"content": "</s>",
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27 |
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28 |
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|
29 |
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|
30 |
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|
31 |
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32 |
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}
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33 |
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],
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34 |
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|
35 |
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"type": "Sequence",
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36 |
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37 |
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{
|
38 |
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"type": "Prepend",
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39 |
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"prepend": "▁"
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40 |
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},
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41 |
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{
|
42 |
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"type": "Replace",
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43 |
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"pattern": {
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44 |
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"String": " "
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45 |
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},
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46 |
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47 |
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}
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48 |
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]
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49 |
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},
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50 |
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51 |
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52 |
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"type": "TemplateProcessing",
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53 |
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54 |
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{
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55 |
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"SpecialToken": {
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56 |
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"id": "<s>",
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57 |
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58 |
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}
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59 |
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60 |
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{
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62 |
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63 |
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64 |
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65 |
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}
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66 |
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67 |
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68 |
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{
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72 |
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73 |
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77 |
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78 |
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}
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{
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"id": "<s>",
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84 |
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}
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85 |
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86 |
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"Sequence": {
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88 |
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"id": "B",
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89 |
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90 |
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}
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91 |
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92 |
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],
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93 |
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94 |
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95 |
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"id": "<s>",
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96 |
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"ids": [
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1
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98 |
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],
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"tokens": [
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100 |
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101 |
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]
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102 |
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}
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103 |
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}
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104 |
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},
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105 |
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"decoder": {
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106 |
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"type": "Sequence",
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107 |
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108 |
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{
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109 |
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"type": "Replace",
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110 |
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"pattern": {
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111 |
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"String": "▁"
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112 |
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},
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113 |
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"content": " "
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114 |
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},
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115 |
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{
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116 |
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"type": "ByteFallback"
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117 |
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},
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118 |
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{
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119 |
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"type": "Fuse"
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120 |
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},
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121 |
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{
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122 |
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"type": "Strip",
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123 |
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124 |
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125 |
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126 |
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}
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127 |
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128 |
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130 |
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131 |
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138 |
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139 |
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140 |
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|
3048 |
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|
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|
3050 |
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|
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|
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|
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|
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|
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|
3056 |
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|
3057 |
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|
3058 |
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|
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|
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|
3061 |
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|
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|
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|
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|
3065 |
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|
3066 |
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|
3067 |
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|
3068 |
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|
3069 |
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|
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|
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|
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|
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|
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|
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|
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|
3077 |
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|
3078 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
3093 |
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"cted": 2954,
|
3094 |
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"ured": 2955,
|
3095 |
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"Controller": 2956,
|
3096 |
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"lied": 2957,
|
3097 |
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"▁jo": 2958,
|
3098 |
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"▁dal": 2959,
|
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|
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|
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|
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"ola": 2963,
|
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|
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"IC": 2965,
|
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"bit": 2966,
|
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|
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|
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|
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|
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|
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|
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|
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|
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"side": 2975,
|
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|
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|
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|
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|
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"▁argument": 2980,
|
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"▁},": 2981,
|
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"▁land": 2982,
|
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"▁names": 2983,
|
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"▁option": 2984,
|
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"ithub": 2985,
|
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"pped": 2986,
|
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"aug": 2987,
|
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"▁links": 2988,
|
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"▁full": 2989,
|
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"▁situ": 2990,
|
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"▁console": 2991,
|
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"▁etc": 2992,
|
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"aux": 2993,
|
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"▁Cor": 2994,
|
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"icrosoft": 2995,
|
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|
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"local": 2997,
|
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"▁known": 2998,
|
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"▁multiple": 2999
|
3139 |
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},
|
3140 |
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"merges": []
|
3141 |
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}
|
3142 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": null,
|
37 |
+
"padding_side": "right",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
|