choprahetarth
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Browse files- README.md +63 -0
- config.json +30 -0
- mergekit_config.yml +17 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +63 -0
- tokenizer.json +0 -0
- tokenizer_config.json +356 -0
- vocab.json +0 -0
README.md
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---
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base_model:
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- bigcode/starcoder2-3b
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- TechxGenus/starcoder2-3b-instruct
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tags:
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- merge
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- mergekit
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- lazymergekit
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- bigcode/starcoder2-3b
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- TechxGenus/starcoder2-3b-instruct
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---
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# tinyllama-merged
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tinyllama-merged is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b)
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* [TechxGenus/starcoder2-3b-instruct](https://huggingface.co/TechxGenus/starcoder2-3b-instruct)
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## 🧩 Configuration
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```yaml
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models:
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- model : bigcode/starcoder2-3b
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parameters:
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density: 0.5 # density gradient
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weight: 1
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- model: TechxGenus/starcoder2-3b-instruct
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parameters:
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density: 0.5
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weight: 1 # weight gradient
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tokenizer_source: union
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merge_method: ties
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base_model: bigcode/starcoder2-3b
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "choprahetarth/tinyllama-merged"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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config.json
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{
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"_name_or_path": "bigcode/starcoder2-3b",
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"architectures": [
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"Starcoder2ForCausalLM"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"embedding_dropout": 0.1,
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"eos_token_id": 0,
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"hidden_act": "gelu_pytorch_tanh",
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"hidden_size": 3072,
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"initializer_range": 0.018042,
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"intermediate_size": 12288,
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"max_position_embeddings": 16384,
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"mlp_type": "default",
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"model_type": "starcoder2",
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"norm_epsilon": 1e-05,
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"norm_type": "layer_norm",
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"num_attention_heads": 24,
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"num_hidden_layers": 30,
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"num_key_value_heads": 2,
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"residual_dropout": 0.1,
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"rope_theta": 999999.4420358813,
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"sliding_window": 4096,
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"torch_dtype": "float16",
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"transformers_version": "4.44.2",
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"use_bias": true,
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"use_cache": true,
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"vocab_size": 49152
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}
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mergekit_config.yml
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models:
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- model : bigcode/starcoder2-3b
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parameters:
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density: 0.5 # density gradient
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weight: 1
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- model: TechxGenus/starcoder2-3b-instruct
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parameters:
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density: 0.5
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weight: 1 # weight gradient
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tokenizer_source: union
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merge_method: ties
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base_model: bigcode/starcoder2-3b
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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merges.txt
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The diff for this file is too large to render.
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2563c44ee8c2fb666cfd5d922cc2db14ab0a499302f6668b0722ae6c3028a827
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size 4998607360
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1364178936
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": false
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "<fim_prefix>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": false
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": "<fim_middle>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": false
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": "<fim_suffix>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": false
|
35 |
+
},
|
36 |
+
"4": {
|
37 |
+
"content": "<fim_pad>",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": false
|
43 |
+
},
|
44 |
+
"5": {
|
45 |
+
"content": "<repo_name>",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": false
|
51 |
+
},
|
52 |
+
"6": {
|
53 |
+
"content": "<file_sep>",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": false
|
59 |
+
},
|
60 |
+
"7": {
|
61 |
+
"content": "<issue_start>",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": false
|
67 |
+
},
|
68 |
+
"8": {
|
69 |
+
"content": "<issue_comment>",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": false
|
75 |
+
},
|
76 |
+
"9": {
|
77 |
+
"content": "<issue_closed>",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": false
|
83 |
+
},
|
84 |
+
"10": {
|
85 |
+
"content": "<jupyter_start>",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": false
|
91 |
+
},
|
92 |
+
"11": {
|
93 |
+
"content": "<jupyter_text>",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": false
|
99 |
+
},
|
100 |
+
"12": {
|
101 |
+
"content": "<jupyter_code>",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": false
|
107 |
+
},
|
108 |
+
"13": {
|
109 |
+
"content": "<jupyter_output>",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": false
|
115 |
+
},
|
116 |
+
"14": {
|
117 |
+
"content": "<jupyter_script>",
|
118 |
+
"lstrip": false,
|
119 |
+
"normalized": false,
|
120 |
+
"rstrip": false,
|
121 |
+
"single_word": false,
|
122 |
+
"special": false
|
123 |
+
},
|
124 |
+
"15": {
|
125 |
+
"content": "<empty_output>",
|
126 |
+
"lstrip": false,
|
127 |
+
"normalized": false,
|
128 |
+
"rstrip": false,
|
129 |
+
"single_word": false,
|
130 |
+
"special": false
|
131 |
+
},
|
132 |
+
"16": {
|
133 |
+
"content": "<code_to_intermediate>",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false,
|
138 |
+
"special": false
|
139 |
+
},
|
140 |
+
"17": {
|
141 |
+
"content": "<intermediate_to_code>",
|
142 |
+
"lstrip": false,
|
143 |
+
"normalized": false,
|
144 |
+
"rstrip": false,
|
145 |
+
"single_word": false,
|
146 |
+
"special": false
|
147 |
+
},
|
148 |
+
"18": {
|
149 |
+
"content": "<pr>",
|
150 |
+
"lstrip": false,
|
151 |
+
"normalized": false,
|
152 |
+
"rstrip": false,
|
153 |
+
"single_word": false,
|
154 |
+
"special": false
|
155 |
+
},
|
156 |
+
"19": {
|
157 |
+
"content": "<pr_status>",
|
158 |
+
"lstrip": false,
|
159 |
+
"normalized": false,
|
160 |
+
"rstrip": false,
|
161 |
+
"single_word": false,
|
162 |
+
"special": false
|
163 |
+
},
|
164 |
+
"20": {
|
165 |
+
"content": "<pr_is_merged>",
|
166 |
+
"lstrip": false,
|
167 |
+
"normalized": false,
|
168 |
+
"rstrip": false,
|
169 |
+
"single_word": false,
|
170 |
+
"special": false
|
171 |
+
},
|
172 |
+
"21": {
|
173 |
+
"content": "<pr_base>",
|
174 |
+
"lstrip": false,
|
175 |
+
"normalized": false,
|
176 |
+
"rstrip": false,
|
177 |
+
"single_word": false,
|
178 |
+
"special": false
|
179 |
+
},
|
180 |
+
"22": {
|
181 |
+
"content": "<pr_file>",
|
182 |
+
"lstrip": false,
|
183 |
+
"normalized": false,
|
184 |
+
"rstrip": false,
|
185 |
+
"single_word": false,
|
186 |
+
"special": false
|
187 |
+
},
|
188 |
+
"23": {
|
189 |
+
"content": "<pr_base_code>",
|
190 |
+
"lstrip": false,
|
191 |
+
"normalized": false,
|
192 |
+
"rstrip": false,
|
193 |
+
"single_word": false,
|
194 |
+
"special": false
|
195 |
+
},
|
196 |
+
"24": {
|
197 |
+
"content": "<pr_diff>",
|
198 |
+
"lstrip": false,
|
199 |
+
"normalized": false,
|
200 |
+
"rstrip": false,
|
201 |
+
"single_word": false,
|
202 |
+
"special": false
|
203 |
+
},
|
204 |
+
"25": {
|
205 |
+
"content": "<pr_diff_hunk>",
|
206 |
+
"lstrip": false,
|
207 |
+
"normalized": false,
|
208 |
+
"rstrip": false,
|
209 |
+
"single_word": false,
|
210 |
+
"special": false
|
211 |
+
},
|
212 |
+
"26": {
|
213 |
+
"content": "<pr_comment>",
|
214 |
+
"lstrip": false,
|
215 |
+
"normalized": false,
|
216 |
+
"rstrip": false,
|
217 |
+
"single_word": false,
|
218 |
+
"special": false
|
219 |
+
},
|
220 |
+
"27": {
|
221 |
+
"content": "<pr_event_id>",
|
222 |
+
"lstrip": false,
|
223 |
+
"normalized": false,
|
224 |
+
"rstrip": false,
|
225 |
+
"single_word": false,
|
226 |
+
"special": false
|
227 |
+
},
|
228 |
+
"28": {
|
229 |
+
"content": "<pr_review>",
|
230 |
+
"lstrip": false,
|
231 |
+
"normalized": false,
|
232 |
+
"rstrip": false,
|
233 |
+
"single_word": false,
|
234 |
+
"special": false
|
235 |
+
},
|
236 |
+
"29": {
|
237 |
+
"content": "<pr_review_state>",
|
238 |
+
"lstrip": false,
|
239 |
+
"normalized": false,
|
240 |
+
"rstrip": false,
|
241 |
+
"single_word": false,
|
242 |
+
"special": false
|
243 |
+
},
|
244 |
+
"30": {
|
245 |
+
"content": "<pr_review_comment>",
|
246 |
+
"lstrip": false,
|
247 |
+
"normalized": false,
|
248 |
+
"rstrip": false,
|
249 |
+
"single_word": false,
|
250 |
+
"special": false
|
251 |
+
},
|
252 |
+
"31": {
|
253 |
+
"content": "<pr_in_reply_to_review_id>",
|
254 |
+
"lstrip": false,
|
255 |
+
"normalized": false,
|
256 |
+
"rstrip": false,
|
257 |
+
"single_word": false,
|
258 |
+
"special": false
|
259 |
+
},
|
260 |
+
"32": {
|
261 |
+
"content": "<pr_in_reply_to_comment_id>",
|
262 |
+
"lstrip": false,
|
263 |
+
"normalized": false,
|
264 |
+
"rstrip": false,
|
265 |
+
"single_word": false,
|
266 |
+
"special": false
|
267 |
+
},
|
268 |
+
"33": {
|
269 |
+
"content": "<pr_diff_hunk_comment_line>",
|
270 |
+
"lstrip": false,
|
271 |
+
"normalized": false,
|
272 |
+
"rstrip": false,
|
273 |
+
"single_word": false,
|
274 |
+
"special": false
|
275 |
+
},
|
276 |
+
"34": {
|
277 |
+
"content": "<NAME>",
|
278 |
+
"lstrip": false,
|
279 |
+
"normalized": false,
|
280 |
+
"rstrip": false,
|
281 |
+
"single_word": false,
|
282 |
+
"special": false
|
283 |
+
},
|
284 |
+
"35": {
|
285 |
+
"content": "<EMAIL>",
|
286 |
+
"lstrip": false,
|
287 |
+
"normalized": false,
|
288 |
+
"rstrip": false,
|
289 |
+
"single_word": false,
|
290 |
+
"special": false
|
291 |
+
},
|
292 |
+
"36": {
|
293 |
+
"content": "<KEY>",
|
294 |
+
"lstrip": false,
|
295 |
+
"normalized": false,
|
296 |
+
"rstrip": false,
|
297 |
+
"single_word": false,
|
298 |
+
"special": false
|
299 |
+
},
|
300 |
+
"37": {
|
301 |
+
"content": "<PASSWORD>",
|
302 |
+
"lstrip": false,
|
303 |
+
"normalized": false,
|
304 |
+
"rstrip": false,
|
305 |
+
"single_word": false,
|
306 |
+
"special": false
|
307 |
+
}
|
308 |
+
},
|
309 |
+
"additional_special_tokens": [
|
310 |
+
"<|endoftext|>",
|
311 |
+
"<fim_prefix>",
|
312 |
+
"<fim_middle>",
|
313 |
+
"<fim_suffix>",
|
314 |
+
"<fim_pad>",
|
315 |
+
"<repo_name>",
|
316 |
+
"<file_sep>",
|
317 |
+
"<issue_start>",
|
318 |
+
"<issue_comment>",
|
319 |
+
"<issue_closed>",
|
320 |
+
"<jupyter_start>",
|
321 |
+
"<jupyter_text>",
|
322 |
+
"<jupyter_code>",
|
323 |
+
"<jupyter_output>",
|
324 |
+
"<jupyter_script>",
|
325 |
+
"<empty_output>",
|
326 |
+
"<code_to_intermediate>",
|
327 |
+
"<intermediate_to_code>",
|
328 |
+
"<pr>",
|
329 |
+
"<pr_status>",
|
330 |
+
"<pr_is_merged>",
|
331 |
+
"<pr_base>",
|
332 |
+
"<pr_file>",
|
333 |
+
"<pr_base_code>",
|
334 |
+
"<pr_diff>",
|
335 |
+
"<pr_diff_hunk>",
|
336 |
+
"<pr_comment>",
|
337 |
+
"<pr_event_id>",
|
338 |
+
"<pr_review>",
|
339 |
+
"<pr_review_state>",
|
340 |
+
"<pr_review_comment>",
|
341 |
+
"<pr_in_reply_to_review_id>",
|
342 |
+
"<pr_in_reply_to_comment_id>",
|
343 |
+
"<pr_diff_hunk_comment_line>",
|
344 |
+
"<NAME>",
|
345 |
+
"<EMAIL>",
|
346 |
+
"<KEY>",
|
347 |
+
"<PASSWORD>"
|
348 |
+
],
|
349 |
+
"bos_token": "<|endoftext|>",
|
350 |
+
"clean_up_tokenization_spaces": true,
|
351 |
+
"eos_token": "<|endoftext|>",
|
352 |
+
"model_max_length": 1000000000000000019884624838656,
|
353 |
+
"tokenizer_class": "GPT2Tokenizer",
|
354 |
+
"unk_token": "<|endoftext|>",
|
355 |
+
"vocab_size": 49152
|
356 |
+
}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|