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README.md
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dtype: bfloat16
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```
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"acc": 0.6545454545454545,
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373 |
-
"acc_stderr": 0.04554619617541054,
|
374 |
-
"acc_norm": 0.6545454545454545,
|
375 |
-
"acc_norm_stderr": 0.04554619617541054
|
376 |
-
},
|
377 |
-
"harness|hendrycksTest-security_studies|5": {
|
378 |
-
"acc": 0.7306122448979592,
|
379 |
-
"acc_stderr": 0.02840125202902294,
|
380 |
-
"acc_norm": 0.7306122448979592,
|
381 |
-
"acc_norm_stderr": 0.02840125202902294
|
382 |
-
},
|
383 |
-
"harness|hendrycksTest-sociology|5": {
|
384 |
-
"acc": 0.845771144278607,
|
385 |
-
"acc_stderr": 0.025538433368578337,
|
386 |
-
"acc_norm": 0.845771144278607,
|
387 |
-
"acc_norm_stderr": 0.025538433368578337
|
388 |
-
},
|
389 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
390 |
-
"acc": 0.86,
|
391 |
-
"acc_stderr": 0.0348735088019777,
|
392 |
-
"acc_norm": 0.86,
|
393 |
-
"acc_norm_stderr": 0.0348735088019777
|
394 |
-
},
|
395 |
-
"harness|hendrycksTest-virology|5": {
|
396 |
-
"acc": 0.5481927710843374,
|
397 |
-
"acc_stderr": 0.03874371556587953,
|
398 |
-
"acc_norm": 0.5481927710843374,
|
399 |
-
"acc_norm_stderr": 0.03874371556587953
|
400 |
-
},
|
401 |
-
"harness|hendrycksTest-world_religions|5": {
|
402 |
-
"acc": 0.8304093567251462,
|
403 |
-
"acc_stderr": 0.02878210810540171,
|
404 |
-
"acc_norm": 0.8304093567251462,
|
405 |
-
"acc_norm_stderr": 0.02878210810540171
|
406 |
-
},
|
407 |
-
"harness|truthfulqa:mc|0": {
|
408 |
-
"mc1": 0.4455324357405141,
|
409 |
-
"mc1_stderr": 0.017399335280140357,
|
410 |
-
"mc2": 0.6131109579182783,
|
411 |
-
"mc2_stderr": 0.015351738756398125
|
412 |
-
},
|
413 |
-
"harness|winogrande|5": {
|
414 |
-
"acc": 0.8003157063930545,
|
415 |
-
"acc_stderr": 0.011235328382625842
|
416 |
-
},
|
417 |
-
"harness|gsm8k|5": {
|
418 |
-
"acc": 0.6899166034874905,
|
419 |
-
"acc_stderr": 0.01274030571737627
|
420 |
-
}
|
421 |
-
}
|
422 |
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|
423 |
```
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|
32 |
dtype: bfloat16
|
33 |
|
34 |
```
|
35 |
+
## 💻 Usage
|
36 |
+
```python
|
37 |
+
!pip install -qU transformers bitsandbytes accelerate
|
38 |
|
39 |
+
from transformers import AutoTokenizer
|
40 |
+
import transformers
|
41 |
+
import torch
|
42 |
|
43 |
+
model = "mychen76/mistral-7b-merged-ties"
|
44 |
+
|
45 |
+
tokenizer = AutoTokenizer.from_pretrained(model)
|
46 |
+
pipeline = transformers.pipeline(
|
47 |
+
"text-generation",
|
48 |
+
model=model,
|
49 |
+
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
|
50 |
+
)
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|
51 |
|
52 |
+
messages = [{"role": "user", "content": "Why the sky is blue"}]
|
53 |
+
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
54 |
+
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
55 |
+
print(outputs[0]["generated_text"])
|
56 |
```
|
57 |
+
|
58 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
59 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mychen76__mistral-7b-merged-ties)
|
60 |
+
|
61 |
+
| Metric |Value|
|
62 |
+
|---------------------------------|----:|
|
63 |
+
|Avg. |71.37|
|
64 |
+
|AI2 Reasoning Challenge (25-Shot)|67.92|
|
65 |
+
|HellaSwag (10-Shot) |85.93|
|
66 |
+
|MMLU (5-Shot) |64.07|
|
67 |
+
|TruthfulQA (0-shot) |61.31|
|
68 |
+
|Winogrande (5-shot) |80.03|
|
69 |
+
|GSM8k (5-shot) |68.54|
|