# mistralai/Mistral-7B-v0.1 temperature
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**Author:**  [@Coralevy](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FCoralevy)%5C
**Post date:** [October 29, 2024, 8:44pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fmistralai-mistral-7b-v0-1-temperature%2F114601%2F1 "2024-10-29T20:44:46Z")
I use the HF end point for the mistralai/Mistral-7B-v0.1 model. I set the temperature to 1. I run the same question and get the same answer. Isn’t it should be the opposite? (to give the same output for temp=0 and the most randomness for temp=1)
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**Author:**  [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [October 29, 2024, 11:33pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fmistralai-mistral-7b-v0-1-temperature%2F114601%2F2 "2024-10-29T23:33:36Z")
No, that is correct; it is the same for Llamacpp as well as Transformers.
If you want it to work even more deterministically, set **doSample=False**.
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**Author:**  [@DataTiger](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FDataTiger)%5C
**Post date:** [November 13, 2024, 6:50am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fmistralai-mistral-7b-v0-1-temperature%2F114601%2F3 "2024-11-13T06:50:02Z")
The temperature parameter in language models influences the randomness of their outputs. Setting it to 1 should generally allow for variability, so if you’re still getting the same answer, it might be due to implementation issues, model-specific behavior, or endpoint configuration affecting the output. Double-checking API settings and testing with different temperature values could be helpful.
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