Mistral 7B Instruct V0.3
v0.3Model IDmistralai-mistral-7b
Mistral 7B is a 7.3B parameter language model celebrated for its efficiency, outperforming larger models on many benchmarks. The v0.3 instruct version is specifically fine-tuned for chat and instruction-following tasks.
32K Tokens ContextFast InferenceCodingFunction CallingMultilingual
Save 8%
$0.11$0.10/1M
input tokens
$0.19$0.17/1M
output tokens
from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="mistralai/Mistral-7B-Instruct-v0.3", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=4096, temperature=0.7, top_p=1, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n") Enterprise
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