huggingface/mistralai/Mistral-7B-Instruct-v0.3
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@ -102,7 +102,7 @@ async def test_huggingface_text_completion_logprobs():
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client = AsyncHTTPHandler()
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with patch.object(client, "post", return_value=return_val) as mock_post:
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response = await litellm.atext_completion(
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model="huggingface/mistralai/Mistral-7B-v0.1",
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model="huggingface/mistralai/Mistral-7B-Instruct-v0.3",
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prompt="good morning",
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client=client,
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)
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@ -3940,7 +3940,7 @@ def test_completion_hf_prompt_array():
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litellm.set_verbose = True
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print("\n testing hf mistral\n")
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response = text_completion(
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model="huggingface/mistralai/Mistral-7B-v0.1",
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model="huggingface/mistralai/Mistral-7B-Instruct-v0.3",
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prompt=token_prompt, # token prompt is a 2d list,
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max_tokens=0,
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temperature=0.0,
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@ -3971,7 +3971,7 @@ def test_text_completion_stream():
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try:
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for _ in range(2): # check if closed client used
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response = text_completion(
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model="huggingface/mistralai/Mistral-7B-v0.1",
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model="huggingface/mistralai/Mistral-7B-Instruct-v0.3",
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prompt="good morning",
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stream=True,
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max_tokens=10,
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