Text Generation
Transformers
Safetensors
mixtral
Mixture of Experts
frankenmoe
Merge
mergekit
lazymergekit
mlabonne/AlphaMonarch-7B
FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B
SanjiWatsuki/Kunoichi-DPO-v2-7B
OmnicromsBrain/NeuralStar-7b-Lazy
conversational
Eval Results
text-generation-inference
Inference Endpoints
OmnicromsBrain
commited on
Commit
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38da3a8
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Parent(s):
50764e2
Update README.md
Browse files
README.md
CHANGED
@@ -103,4 +103,10 @@ messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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## Evaluation
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from datasets import load_dataset
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data = load_dataset("open-llm-leaderboard/details_OmnicromsBrain__NeuralStar_AlphaWriter_4x7b",
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"harness_winogrande_5",
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split="train")
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