lucataco / qwen1.5-110b

Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data

Cold

Public
2.7K runs
4x A100 (80GB)
GitHub
License

Run with an API

Playground API Examples README Versions

Prediction

lucataco/qwen1.5-110b:af7953cb4fe4948df44a074d4785c2f74d0096257197198e90c9ac84361b6aa9

Model

lucataco/qwen1.5-110b:af7953cb

nytm2kwjsdrgp0cf3jrsy25yaw

Status

Succeeded

Source

Web

Hardware

4x A100 (80GB)

Total duration

4m 10s

Created

about 1 year ago

Input

top_k: 50
top_p: 0.8
prompt: Provide a short introduction to large language models
temperature: 0.7
system_prompt: You are a helpful assistant.
max_new_tokens: 256
repetition_penalty: 1.05

{
  "top_k": 50,
  "top_p": 0.8,
  "prompt": "Provide a short introduction to large language models",
  "temperature": 0.7,
  "system_prompt": "You are a helpful assistant.",
  "max_new_tokens": 256,
  "repetition_penalty": 1.05
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/qwen1.5-110b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/qwen1.5-110b:af7953cb4fe4948df44a074d4785c2f74d0096257197198e90c9ac84361b6aa9",
  {
    input: {
      top_k: 50,
      top_p: 0.8,
      prompt: "Provide a short introduction to large language models",
      temperature: 0.7,
      system_prompt: "You are a helpful assistant.",
      max_new_tokens: 256,
      repetition_penalty: 1.05
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run lucataco/qwen1.5-110b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/qwen1.5-110b:af7953cb4fe4948df44a074d4785c2f74d0096257197198e90c9ac84361b6aa9",
    input={
        "top_k": 50,
        "top_p": 0.8,
        "prompt": "Provide a short introduction to large language models",
        "temperature": 0.7,
        "system_prompt": "You are a helpful assistant.",
        "max_new_tokens": 256,
        "repetition_penalty": 1.05
    }
)

# The lucataco/qwen1.5-110b model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/lucataco/qwen1.5-110b/api#output-schema
    print(item, end="")

To learn more, take a look at the guide on getting started with Python.

Run lucataco/qwen1.5-110b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "lucataco/qwen1.5-110b:af7953cb4fe4948df44a074d4785c2f74d0096257197198e90c9ac84361b6aa9",
    "input": {
      "top_k": 50,
      "top_p": 0.8,
      "prompt": "Provide a short introduction to large language models",
      "temperature": 0.7,
      "system_prompt": "You are a helpful assistant.",
      "max_new_tokens": 256,
      "repetition_penalty": 1.05
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Large language models (LLMs) are artificial intelligence systems that have been trained on massive amounts of text data to generate human-like language output. They are capable of understanding and generating natural language, and can be used for a wide range of tasks such as language translation, summarization, question answering, and even creative writing. LLMs have become increasingly popular in recent years due to their ability to perform complex language tasks with high accuracy and speed. However, they also raise ethical concerns around issues such as bias and privacy.

{
  "completed_at": "2024-04-26T23:20:01.001195Z",
  "created_at": "2024-04-26T23:15:50.603000Z",
  "data_removed": false,
  "error": null,
  "id": "nytm2kwjsdrgp0cf3jrsy25yaw",
  "input": {
    "top_k": 50,
    "top_p": 0.8,
    "prompt": "Provide a short introduction to large language models",
    "temperature": 0.7,
    "system_prompt": "You are a helpful assistant.",
    "max_new_tokens": 256,
    "repetition_penalty": 1.05
  },
  "logs": "\u001b[36m(RayWorkerVllm pid=3790)\u001b[0m INFO 04-26 23:19:54 model_runner.py:867] Graph capturing finished in 6 secs.\nINFO 04-26 23:19:56 async_llm_engine.py:508] Received request 0: prompt: '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n<|im_start|>user\\nProvide a short introduction to large language models<|im_end|>\\n<|im_start|>assistant\\n', sampling_params: SamplingParams(n=1, best_of=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.05, temperature=0.7, top_p=0.8, top_k=50, min_p=0.0, seed=None, use_beam_search=False, length_penalty=1.0, early_stopping=False, stop=['<|endoftext|>'], stop_token_ids=[], include_stop_str_in_output=False, ignore_eos=False, max_tokens=256, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True), prompt_token_ids: None, lora_request: None.\nINFO 04-26 23:19:56 metrics.py:218] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 1 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.0%, CPU KV cache usage: 0.0%\nINFO 04-26 23:20:00 async_llm_engine.py:120] Finished request 0.\ngeneration took 4.678s",
  "metrics": {
    "predict_time": 4.741052,
    "total_time": 250.398195
  },
  "output": [
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    ""
  ],
  "started_at": "2024-04-26T23:19:56.260143Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/streams/5cdyqwo42pwc54elug22xnt7iz3tmqojvpuq6qukb4s3arl3taza",
    "get": "https://api.replicate.com/v1/predictions/nytm2kwjsdrgp0cf3jrsy25yaw",
    "cancel": "https://api.replicate.com/v1/predictions/nytm2kwjsdrgp0cf3jrsy25yaw/cancel"
  },
  "version": "af7953cb4fe4948df44a074d4785c2f74d0096257197198e90c9ac84361b6aa9"
}

Generated in

4.8 seconds

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