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README.md ADDED
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+ ---
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+ license: bigcode-openrail-m
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+ library_name: transformers
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+ tags:
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+ - code
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+ - mlx
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+ base_model: bigcode/starcoder2-15b
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+ datasets:
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+ - bigcode/self-oss-instruct-sc2-exec-filter-50k
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: starcoder2-15b-instruct-v0.1
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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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+ name: LiveCodeBench (code generation)
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+ type: livecodebench-codegeneration
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+ metrics:
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+ - type: pass@1
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+ value: 20.4
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: LiveCodeBench (self repair)
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+ type: livecodebench-selfrepair
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+ metrics:
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+ - type: pass@1
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+ value: 20.9
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: LiveCodeBench (test output prediction)
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+ type: livecodebench-testoutputprediction
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+ metrics:
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+ - type: pass@1
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+ value: 29.8
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: LiveCodeBench (code execution)
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+ type: livecodebench-codeexecution
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+ metrics:
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+ - type: pass@1
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+ value: 28.1
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: HumanEval
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+ type: humaneval
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+ metrics:
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+ - type: pass@1
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+ value: 72.6
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: HumanEval+
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+ type: humanevalplus
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+ metrics:
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+ - type: pass@1
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+ value: 63.4
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: MBPP
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+ type: mbpp
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+ metrics:
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+ - type: pass@1
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+ value: 75.2
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: MBPP+
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+ type: mbppplus
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+ metrics:
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+ - type: pass@1
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+ value: 61.2
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: DS-1000
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+ type: ds-1000
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+ metrics:
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+ - type: pass@1
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+ value: 40.6
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+ ---
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+
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+ # mlx-community/starcoder2-15b-instruct-v0.1
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+ This model was converted to MLX format from [`bigcode/starcoder2-15b-instruct-v0.1`]() using mlx-lm version **0.12.1**.
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+ Refer to the [original model card](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1) for more details on the model.
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("mlx-community/starcoder2-15b-instruct-v0.1")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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+ {
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+ "architectures": [
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+ "Starcoder2ForCausalLM"
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+ ],
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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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+ "residual_dropout": 0.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.39.0.dev0",
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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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+ "lstrip": false,
207
+ "normalized": false,
208
+ "rstrip": false,
209
+ "single_word": false,
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
+ },
220
+ "27": {
221
+ "content": "<pr_event_id>",
222
+ "lstrip": false,
223
+ "normalized": false,
224
+ "rstrip": false,
225
+ "single_word": false,
226
+ "special": true
227
+ },
228
+ "28": {
229
+ "content": "<pr_review>",
230
+ "lstrip": false,
231
+ "normalized": false,
232
+ "rstrip": false,
233
+ "single_word": false,
234
+ "special": true
235
+ },
236
+ "29": {
237
+ "content": "<pr_review_state>",
238
+ "lstrip": false,
239
+ "normalized": false,
240
+ "rstrip": false,
241
+ "single_word": false,
242
+ "special": true
243
+ },
244
+ "30": {
245
+ "content": "<pr_review_comment>",
246
+ "lstrip": false,
247
+ "normalized": false,
248
+ "rstrip": false,
249
+ "single_word": false,
250
+ "special": true
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": true
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": true
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": true
275
+ },
276
+ "34": {
277
+ "content": "<NAME>",
278
+ "lstrip": false,
279
+ "normalized": false,
280
+ "rstrip": false,
281
+ "single_word": false,
282
+ "special": true
283
+ },
284
+ "35": {
285
+ "content": "<EMAIL>",
286
+ "lstrip": false,
287
+ "normalized": false,
288
+ "rstrip": false,
289
+ "single_word": false,
290
+ "special": true
291
+ },
292
+ "36": {
293
+ "content": "<KEY>",
294
+ "lstrip": false,
295
+ "normalized": false,
296
+ "rstrip": false,
297
+ "single_word": false,
298
+ "special": true
299
+ },
300
+ "37": {
301
+ "content": "<PASSWORD>",
302
+ "lstrip": false,
303
+ "normalized": false,
304
+ "rstrip": false,
305
+ "single_word": false,
306
+ "special": true
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
+ "chat_template": "{{bos_token}}{{'You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions.\n\n'}}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n {{ raise_exception('System messages are not allowed in this template.') }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction\n' + message['content'] + '\n\n'}}\n {%- else %}\n{{'### Response\n' + message['content'] + eos_token + '\n\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{{'### Response\n'}}",
351
+ "clean_up_tokenization_spaces": true,
352
+ "eos_token": "<|endoftext|>",
353
+ "model_max_length": 1000000000000000019884624838656,
354
+ "tokenizer_class": "GPT2Tokenizer",
355
+ "unk_token": "<|endoftext|>",
356
+ "vocab_size": 49152
357
+ }
vocab.json ADDED
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