uukuguy commited on
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README.md CHANGED
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  ---
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ library_name: transformers
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+ pipeline_tag: text-generation
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+ datasets:
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+ - teknium/OpenHermes-2.5
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+ - TokenBender/python_eval_instruct_51k
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+ - codefuse-ai/Evol-instruction-66k
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+ tags:
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+ - code
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  license: apache-2.0
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+ model-index:
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+ - name: SpeechlessCoder
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+ results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ type: openai_humaneval
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+ name: HumanEval
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+ metrics:
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+ - name: pass@1
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+ type: pass@1
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+ value: 0.0
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+ verified: false
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  ---
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+
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+ <p><h1> speechless-starcoder2-7b </h1></p>
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+
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+ Code: https://github.com/uukuguy/speechless
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+
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+ Use the following dataset to fine-tune bigcode/starcoder2-7b in order to improve the model's reasoning and planning abilities.
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+
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+ Total 986k samples.
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+ - teknium/OpenHermes-2.5
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+ - TokenBender/python_eval_instruct_51k
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+ - Spider
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+ - codefuse-ai/Evol-instruction-66k
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+
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+ ## How to Prompt the Model
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+ This model accepts the Alpaca instruction format.
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+
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+ For example:
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+ ```
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+ You are an intelligent programming assistant.
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+
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+ ### Instruction:
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+ Implement a linked list in C++
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+
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+ ### Response:
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+ ```
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+
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+ ## HumanEval
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+
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+ | Metric | Value |
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+ | --- | --- |
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+ | humaneval-python | |
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+
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+ ## lm-evaluation-harness
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+
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+ ```json
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+ {'ARC (acc_norm)': ,
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+ 'HellaSwag (acc_norm)': ,
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+ 'MMLU (acc)': ,
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+ 'TruthfulQA (mc2)': ,
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+ 'Winoground (acc)': ,
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+ 'GSM8K (acc)': ,
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+ 'DROP (f1)': ,
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+ 'Open LLM Score': }
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+ ```
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+
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-starcoder2-7b)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | |
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+ | ARC (25-shot) | |
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+ | HellaSwag (10-shot) | |
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+ | MMLU (5-shot) | |
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+ | TruthfulQA (0-shot) | |
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+ | Winogrande (5-shot) | |
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+ | GSM8K (5-shot) | |
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+ | DROP (3-shot) | |
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+ }
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9
+ "single_word": false,
10
+ "special": true
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+ },
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+ "1": {
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16
+ "rstrip": false,
17
+ "single_word": false,
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+ "special": true
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+ },
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+ "2": {
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+ "content": "<fim_middle>",
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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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+ "special": true
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+ },
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+ "3": {
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+ "content": "<fim_suffix>",
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+ "lstrip": false,
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32
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+ "single_word": false,
34
+ "special": true
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+ },
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+ "4": {
37
+ "content": "<fim_pad>",
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+ "lstrip": false,
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+ "normalized": false,
40
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41
+ "single_word": false,
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+ "special": true
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+ },
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+ "5": {
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+ "content": "<repo_name>",
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+ "lstrip": false,
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+ "rstrip": false,
49
+ "single_word": false,
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+ "special": true
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+ },
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+ "6": {
53
+ "content": "<file_sep>",
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+ "lstrip": false,
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+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
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+ "special": true
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+ },
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+ "7": {
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+ "content": "<issue_start>",
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+ "special": true
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+ },
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+ "8": {
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+ "content": "<issue_comment>",
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+ "lstrip": false,
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+ "special": true
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+ },
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+ "9": {
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+ "content": "<issue_closed>",
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81
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+ "special": true
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+ },
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+ "10": {
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+ "content": "<jupyter_start>",
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+ "special": true
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+ },
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+ "11": {
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+ "content": "<jupyter_text>",
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+ "special": true
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+ },
100
+ "12": {
101
+ "content": "<jupyter_code>",
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103
+ "normalized": false,
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+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
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+ },
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+ "13": {
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112
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113
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+ "special": true
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+ },
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+ "14": {
117
+ "content": "<jupyter_script>",
118
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120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
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+ },
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+ "15": {
125
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127
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128
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130
+ "special": true
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+ },
132
+ "16": {
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+ "content": "<code_to_intermediate>",
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+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
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+ "17": {
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+ "content": "<intermediate_to_code>",
142
+ "lstrip": false,
143
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144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": true
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+ },
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+ "18": {
149
+ "content": "<pr>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": true
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+ },
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+ "19": {
157
+ "content": "<pr_status>",
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+ "lstrip": false,
159
+ "normalized": false,
160
+ "rstrip": false,
161
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162
+ "special": true
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+ },
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+ "20": {
165
+ "content": "<pr_is_merged>",
166
+ "lstrip": false,
167
+ "normalized": false,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": true
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+ },
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+ "21": {
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+ "content": "<pr_base>",
174
+ "lstrip": false,
175
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176
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177
+ "single_word": false,
178
+ "special": true
179
+ },
180
+ "22": {
181
+ "content": "<pr_file>",
182
+ "lstrip": false,
183
+ "normalized": false,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": true
187
+ },
188
+ "23": {
189
+ "content": "<pr_base_code>",
190
+ "lstrip": false,
191
+ "normalized": false,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": true
195
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196
+ "24": {
197
+ "content": "<pr_diff>",
198
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199
+ "normalized": false,
200
+ "rstrip": false,
201
+ "single_word": false,
202
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203
+ },
204
+ "25": {
205
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207
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208
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209
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210
+ "special": true
211
+ },
212
+ "26": {
213
+ "content": "<pr_comment>",
214
+ "lstrip": false,
215
+ "normalized": false,
216
+ "rstrip": false,
217
+ "single_word": false,
218
+ "special": true
219
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220
+ "27": {
221
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222
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223
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224
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225
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226
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227
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229
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231
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232
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236
+ "29": {
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239
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241
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242
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+ "30": {
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246
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247
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248
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249
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250
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+ "31": {
253
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256
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+ "34": {
277
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278
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
+ "36": {
293
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294
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295
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296
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297
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298
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299
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301
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302
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303
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304
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305
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306
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307
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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,
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+ "tokenizer_class": "GPT2Tokenizer",
354
+ "unk_token": "<|endoftext|>",
355
+ "vocab_size": 49152
356
+ }
vocab.json ADDED
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