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README.md
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@@ -19,7 +19,6 @@ mistral-7b-merged-dare is a merge of the following models:
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```yaml
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models:
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- model: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: samir-fama/SamirGPT-v1
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parameters:
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density: 0.53
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@@ -40,392 +39,38 @@ dtype: bfloat16
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```
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```
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{
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"mc1": 0.46878824969400246,
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"mc1_stderr": 0.017469364874577537,
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"mc2": 0.6324196158065736,
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"mc2_stderr": 0.015183642172146008
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},
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"harness|arc:challenge|25": {
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"harness|hellaswag|10": {
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},
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},
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"acc_norm": 0.7438271604938271,
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| 353 |
-
"acc_norm_stderr": 0.0242885336377261
|
| 354 |
-
},
|
| 355 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 356 |
-
"acc": 0.4929078014184397,
|
| 357 |
-
"acc_stderr": 0.02982449855912901,
|
| 358 |
-
"acc_norm": 0.4929078014184397,
|
| 359 |
-
"acc_norm_stderr": 0.02982449855912901
|
| 360 |
-
},
|
| 361 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 362 |
-
"acc": 0.46740547588005216,
|
| 363 |
-
"acc_stderr": 0.012743072942653342,
|
| 364 |
-
"acc_norm": 0.46740547588005216,
|
| 365 |
-
"acc_norm_stderr": 0.012743072942653342
|
| 366 |
-
},
|
| 367 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 368 |
-
"acc": 0.6727941176470589,
|
| 369 |
-
"acc_stderr": 0.028501452860396553,
|
| 370 |
-
"acc_norm": 0.6727941176470589,
|
| 371 |
-
"acc_norm_stderr": 0.028501452860396553
|
| 372 |
-
},
|
| 373 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 374 |
-
"acc": 0.6764705882352942,
|
| 375 |
-
"acc_stderr": 0.018926082916083383,
|
| 376 |
-
"acc_norm": 0.6764705882352942,
|
| 377 |
-
"acc_norm_stderr": 0.018926082916083383
|
| 378 |
-
},
|
| 379 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 380 |
-
"acc": 0.6818181818181818,
|
| 381 |
-
"acc_stderr": 0.044612721759105085,
|
| 382 |
-
"acc_norm": 0.6818181818181818,
|
| 383 |
-
"acc_norm_stderr": 0.044612721759105085
|
| 384 |
-
},
|
| 385 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 386 |
-
"acc": 0.726530612244898,
|
| 387 |
-
"acc_stderr": 0.02853556033712844,
|
| 388 |
-
"acc_norm": 0.726530612244898,
|
| 389 |
-
"acc_norm_stderr": 0.02853556033712844
|
| 390 |
-
},
|
| 391 |
-
"harness|hendrycksTest-sociology|5": {
|
| 392 |
-
"acc": 0.8407960199004975,
|
| 393 |
-
"acc_stderr": 0.02587064676616913,
|
| 394 |
-
"acc_norm": 0.8407960199004975,
|
| 395 |
-
"acc_norm_stderr": 0.02587064676616913
|
| 396 |
-
},
|
| 397 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 398 |
-
"acc": 0.86,
|
| 399 |
-
"acc_stderr": 0.0348735088019777,
|
| 400 |
-
"acc_norm": 0.86,
|
| 401 |
-
"acc_norm_stderr": 0.0348735088019777
|
| 402 |
-
},
|
| 403 |
-
"harness|hendrycksTest-virology|5": {
|
| 404 |
-
"acc": 0.5421686746987951,
|
| 405 |
-
"acc_stderr": 0.0387862677100236,
|
| 406 |
-
"acc_norm": 0.5421686746987951,
|
| 407 |
-
"acc_norm_stderr": 0.0387862677100236
|
| 408 |
-
},
|
| 409 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 410 |
-
"acc": 0.8421052631578947,
|
| 411 |
-
"acc_stderr": 0.027966785859160893,
|
| 412 |
-
"acc_norm": 0.8421052631578947,
|
| 413 |
-
"acc_norm_stderr": 0.027966785859160893
|
| 414 |
-
},
|
| 415 |
-
"harness|truthfulqa:mc|0": {
|
| 416 |
-
"mc1": 0.46878824969400246,
|
| 417 |
-
"mc1_stderr": 0.017469364874577537,
|
| 418 |
-
"mc2": 0.6324196158065736,
|
| 419 |
-
"mc2_stderr": 0.015183642172146008
|
| 420 |
-
},
|
| 421 |
-
"harness|winogrande|5": {
|
| 422 |
-
"acc": 0.8161010260457774,
|
| 423 |
-
"acc_stderr": 0.010887916013305889
|
| 424 |
-
},
|
| 425 |
-
"harness|gsm8k|5": {
|
| 426 |
-
"acc": 0.730098559514784,
|
| 427 |
-
"acc_stderr": 0.012227442856468897
|
| 428 |
-
}
|
| 429 |
-
}
|
| 430 |
|
| 431 |
-
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|
| 19 |
```yaml
|
| 20 |
models:
|
| 21 |
- model: mistralai/Mistral-7B-v0.1
|
|
|
|
| 22 |
- model: samir-fama/SamirGPT-v1
|
| 23 |
parameters:
|
| 24 |
density: 0.53
|
|
|
|
| 39 |
|
| 40 |
```
|
| 41 |
|
| 42 |
+
## 💻 Usage
|
| 43 |
+
```python
|
| 44 |
+
!pip install -qU transformers bitsandbytes accelerate
|
| 45 |
|
| 46 |
+
from transformers import AutoTokenizer
|
| 47 |
+
import transformers
|
| 48 |
+
import torch
|
| 49 |
|
| 50 |
+
model = "mayacinka/West-Ramen-7Bx4"
|
| 51 |
+
|
| 52 |
+
tokenizer = AutoTokenizer.from_pretrained(model)
|
| 53 |
+
pipeline = transformers.pipeline(
|
| 54 |
+
"text-generation",
|
| 55 |
+
model=model,
|
| 56 |
+
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
|
| 57 |
+
)
|
| 58 |
+
|
| 59 |
+
messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
|
| 60 |
+
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| 61 |
+
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
| 62 |
+
print(outputs[0]["generated_text"])
|
| 63 |
```
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|
| 64 |
|
| 65 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
| 66 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mychen76__mistral-7b-merged-dare)
|
| 67 |
+
|
| 68 |
+
| Metric |Value|
|
| 69 |
+
|---------------------------------|----:|
|
| 70 |
+
|Avg. |73.46|
|
| 71 |
+
|AI2 Reasoning Challenge (25-Shot)|69.71|
|
| 72 |
+
|HellaSwag (10-Shot) |87.05|
|
| 73 |
+
|MMLU (5-Shot) |65.07|
|
| 74 |
+
|TruthfulQA (0-shot) |63.24|
|
| 75 |
+
|Winogrande (5-shot) |81.61|
|
| 76 |
+
|GSM8k (5-shot) |73.01|
|