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* Add model * Update loader * Fix llama config usage * Docs * Fix config no_rope_layers * Fix tie_word_embeddings default * Add chat template * Embed the chat templates * Fix embedding template * enable_thinking default true * Update examples * XML tools for smollm3 * Add smollm3 docs * Fix openai examples * Clippy --------- Co-authored-by: Eric Buehler <[email protected]>
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
from mistralrs import Runner, Which, ChatCompletionRequest, VisionArchitecture
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import base64
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runner = Runner(
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which=Which.VisionPlain(
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model_id="microsoft/Phi-3.5-vision-instruct",
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arch=VisionArchitecture.Phi3V,
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),
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)
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FILENAME = "picture.jpg"
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with open(FILENAME, "rb") as image_file:
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encoded_string = base64.b64encode(image_file.read()).decode("utf-8")
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res = runner.send_chat_completion_request(
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ChatCompletionRequest(
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model="default",
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": f"data:image/png;base64,{encoded_string}",
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},
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},
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{
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"type": "text",
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"text": "<|image_1|>\nWhat is shown in this image? Write a detailed response analyzing the scene.",
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},
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],
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}
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],
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max_tokens=256,
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presence_penalty=1.0,
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top_p=0.1,
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temperature=0.1,
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)
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)
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print(res.choices[0].message.content)
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print(res.usage)
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