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85dcfbef20
* 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]>
35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
from mistralrs import Runner, Which, ChatCompletionRequest, Architecture
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from json import dumps
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runner = Runner(
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which=Which.Plain(
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model_id="microsoft/Phi-3.5-mini-instruct",
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),
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num_device_layers=["500"],
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)
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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=[{"role": "user", "content": "Give me a sample address."}],
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max_tokens=256,
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temperature=0.1,
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grammar_type="json_schema",
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grammar=dumps(
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{
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"type": "object",
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"properties": {
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"street": {"type": "string"},
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"city": {"type": "string"},
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"state": {"type": "string", "pattern": "^[A-Z]{2}$"},
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"zip": {"type": "integer", "minimum": 10000, "maximum": 99999},
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},
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"required": ["street", "city", "state", "zip"],
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"additionalProperties": False,
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}
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),
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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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