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mychen76
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openmixtral-4x7b-merged

Text Generation
Transformers
Safetensors
mixtral
Merge
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -43,387 +43,38 @@ experts:
43
  tokenizer_source: union
44
  ```
45
 
46
- Evaluation Result:
47
- https://huggingface.co/datasets/open-llm-leaderboard/details_mychen76__openmixtral-4x7b-merged
48
- ```
49
- {
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- },
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- "harness|hendrycksTest-moral_disputes|5": {
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397
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- }
428
- }
429
  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
43
  tokenizer_source: union
44
  ```
45
 
46
+ ## 💻 Usage
47
+ ```python
48
+ !pip install -qU transformers bitsandbytes accelerate
49
+
50
+ from transformers import AutoTokenizer
51
+ import transformers
52
+ import torch
53
+
54
+ model = "openmixtral-4x7b-merged"
55
+
56
+ tokenizer = AutoTokenizer.from_pretrained(model)
57
+ pipeline = transformers.pipeline(
58
+ "text-generation",
59
+ model=model,
60
+ model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
61
+ )
62
+
63
+ messages = [{"role": "user", "content": "Why the sky is blue."}]
64
+ prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
65
+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
66
+ print(outputs[0]["generated_text"])
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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)
70
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mychen76__openmixtral-4x7b-merged)
71
+
72
+ | Metric |Value|
73
+ |---------------------------------|----:|
74
+ |Avg. |72.51|
75
+ |AI2 Reasoning Challenge (25-Shot)|69.45|
76
+ |HellaSwag (10-Shot) |86.75|
77
+ |MMLU (5-Shot) |65.29|
78
+ |TruthfulQA (0-shot) |61.33|
79
+ |Winogrande (5-shot) |81.06|
80
+ |GSM8k (5-shot) |71.19|