lucataco/internlm2_5-7b-chat:e943ac18 | Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

lucataco /internlm2_5-7b-chat:e943ac18

Input

prompt

string

Shift + Return to add a new line

please provide three suggestions about time managementplease provide three suggestions about time management

Prompt

Default: ""

system_prompt

string

Shift + Return to add a new line

System prompt to send to the model. This is prepended to the prompt and helps guide system behavior. Ignored for non-chat models.

Default: "You are a helpful assistant."

min_tokens

integer

The minimum number of tokens the model should generate as output.

Default: 0

max_tokens

integer

The maximum number of tokens the model should generate as output.

Default: 512

temperature

number

The value used to modulate the next token probabilities.

Default: 0.6

top_p

number

A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).

Default: 0.9

top_k

integer

The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).

Default: 50

presence_penalty

number

Presence penalty

Default: 0

frequency_penalty

number

Frequency penalty

Default: 0

stop_sequences

string

Shift + Return to add a new line

A comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of 'end' or '<stop>'.

Run this model in Node.js with one line of code:

npx create-replicate --model=lucataco/internlm2_5-7b-chat

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run lucataco/internlm2_5-7b-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/internlm2_5-7b-chat:e943ac18ac8c05ac7deb01cbc3aba827b74f1ecdcb71d722e692d7ed4e70c33d",
  {
    input: {
      top_k: 50,
      top_p: 0.9,
      prompt: "please provide three suggestions about time management",
      max_tokens: 512,
      min_tokens: 0,
      temperature: 0.6,
      system_prompt: "You are a helpful assistant.",
      presence_penalty: 0,
      frequency_penalty: 0
    }
  }
);

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run lucataco/internlm2_5-7b-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/internlm2_5-7b-chat:e943ac18ac8c05ac7deb01cbc3aba827b74f1ecdcb71d722e692d7ed4e70c33d",
    input={
        "top_k": 50,
        "top_p": 0.9,
        "prompt": "please provide three suggestions about time management",
        "max_tokens": 512,
        "min_tokens": 0,
        "temperature": 0.6,
        "system_prompt": "You are a helpful assistant.",
        "presence_penalty": 0,
        "frequency_penalty": 0
    }
)

# The lucataco/internlm2_5-7b-chat 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/internlm2_5-7b-chat/api#output-schema
    print(item, end="")

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/internlm2_5-7b-chat 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/internlm2_5-7b-chat:e943ac18ac8c05ac7deb01cbc3aba827b74f1ecdcb71d722e692d7ed4e70c33d",
    "input": {
      "top_k": 50,
      "top_p": 0.9,
      "prompt": "please provide three suggestions about time management",
      "max_tokens": 512,
      "min_tokens": 0,
      "temperature": 0.6,
      "system_prompt": "You are a helpful assistant.",
      "presence_penalty": 0,
      "frequency_penalty": 0
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Certainly! Here are three suggestions for effective time management: 1. **Prioritize Tasks**: Start by identifying the most important tasks that need to be completed and prioritize them based on urgency and importance. Use tools like the Eisenhower Matrix to categorize tasks into four quadrants: urgent and important, important but not urgent, urgent but not important, and neither urgent nor important. Focus on completing tasks in the first quadrant first, as they contribute the most to your goals. 2. **Set Specific Goals**: Define clear, achievable goals for each day, week, and month. Break down larger projects into smaller, manageable tasks and set deadlines for each. This helps in maintaining focus and provides a sense of accomplishment as you complete each task. 3. **Use Time-Blocking**: Allocate specific blocks of time for different activities throughout your day. This involves scheduling tasks in your calendar, ensuring you dedicate time for work, breaks, and personal activities. Time-blocking helps in minimizing distractions and ensures that you have a structured approach to your day, maximizing productivity and reducing procrastination. Remember, effective time management is about balancing work with rest and leisure, so ensure you schedule time for relaxation and hobbies to maintain a healthy work-life balance.

{
  "completed_at": "2024-07-04T01:14:19.800970Z",
  "created_at": "2024-07-04T01:12:25.716000Z",
  "data_removed": false,
  "error": null,
  "id": "hjke4jdzehrgj0cgfd684mexxg",
  "input": {
    "top_k": 50,
    "top_p": 0.9,
    "prompt": "please provide three suggestions about time management",
    "max_tokens": 512,
    "min_tokens": 0,
    "temperature": 0.6,
    "system_prompt": "You are a helpful assistant.",
    "presence_penalty": 0,
    "frequency_penalty": 0
  },
  "logs": "INFO 07-04 01:14:12 async_llm_engine.py:529] Received request 6fffef91b60745a99f3323d98d0adf10: prompt: '<s><|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n<|im_start|>user\\nplease provide three suggestions about time management<|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=1.0, temperature=0.6, top_p=0.9, top_k=50, min_p=0.0, seed=None, use_beam_search=False, length_penalty=1.0, early_stopping=False, stop=[], stop_token_ids=[2], include_stop_str_in_output=False, ignore_eos=False, max_tokens=512, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None), prompt_token_ids: None, lora_request: None.\n stdoutINFO 07-04 01:14:16 metrics.py:334] Avg prompt throughput: 5.8 tokens/s, Avg generation throughput: 29.3 tokens/s, Running: 1 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.1%, CPU KV cache usage: 0.0%\n stdoutGeneration took 1720054315.80sINFO 07-04 01:14:19 async_llm_engine.py:120] Finished request 6fffef91b60745a99f3323d98d0adf10.\n stdoutFormatted prompt: <s><|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\nplease provide three suggestions about time management<|im_end|>\n<|im_start|>assistant",
  "metrics": {
    "predict_time": 6.915671904,
    "total_time": 114.08497
  },
  "output": [
    "C",
    "ertain",
    "ly",
    "!",
    " Here",
    " are",
    " three",
    " suggestions",
    " for",
    " effective",
    " time",
    " management",
    ":\n\n",
    "1",
    ".",
    " **",
    "Prior",
    "itize",
    " Tasks",
    "**",
    ":",
    " Start",
    " by",
    " identifying",
    " the",
    " most",
    " important",
    " tasks",
    " that",
    " need",
    " to",
    " be",
    " completed",
    " and",
    " prior",
    "itize",
    " them",
    " based",
    " on",
    " urgency",
    " and",
    " importance",
    ".",
    " Use",
    " tools",
    " like",
    " the",
    " Eisen",
    "h",
    "ower",
    " Matrix",
    " to",
    " categor",
    "ize",
    " tasks",
    " into",
    " four",
    " quadr",
    "ants",
    ":",
    " urgent",
    " and",
    " important",
    ",",
    " important",
    " but",
    " not",
    " urgent",
    ",",
    " urgent",
    " but",
    " not",
    " important",
    ",",
    " and",
    " neither",
    " urgent",
    " nor",
    " important",
    ".",
    " Focus",
    " on",
    " completing",
    " tasks",
    " in",
    " the",
    " first",
    " quadr",
    "ant",
    " first",
    ",",
    " as",
    " they",
    " contribute",
    " the",
    " most",
    " to",
    " your",
    " goals",
    ".\n\n",
    "2",
    ".",
    " **",
    "Set",
    " Specific",
    " Goals",
    "**",
    ":",
    " Define",
    " clear",
    ",",
    " achie",
    "vable",
    " goals",
    " for",
    " each",
    " day",
    ",",
    " week",
    ",",
    " and",
    " month",
    ".",
    " Break",
    " down",
    " larger",
    " projects",
    " into",
    " smaller",
    ",",
    " manage",
    "able",
    " tasks",
    " and",
    " set",
    " deadlines",
    " for",
    " each",
    ".",
    " This",
    " helps",
    " in",
    " maintaining",
    " focus",
    " and",
    " provides",
    " a",
    " sense",
    " of",
    " accomplishment",
    " as",
    " you",
    " complete",
    " each",
    " task",
    ".\n\n",
    "3",
    ".",
    " **",
    "Use",
    " Time",
    "-",
    "Blocking",
    "**",
    ":",
    " Allocate",
    " specific",
    " blocks",
    " of",
    " time",
    " for",
    " different",
    " activities",
    " throughout",
    " your",
    " day",
    ".",
    " This",
    " involves",
    " scheduling",
    " tasks",
    " in",
    " your",
    " calendar",
    ",",
    " ensuring",
    " you",
    " ded",
    "icate",
    " time",
    " for",
    " work",
    ",",
    " breaks",
    ",",
    " and",
    " personal",
    " activities",
    ".",
    " Time",
    "-block",
    "ing",
    " helps",
    " in",
    " minim",
    "izing",
    " distra",
    "ctions",
    " and",
    " ensures",
    " that",
    " you",
    " have",
    " a",
    " structured",
    " approach",
    " to",
    " your",
    " day",
    ",",
    " maxim",
    "izing",
    " productivity",
    " and",
    " reducing",
    " pro",
    "cr",
    "ast",
    "ination",
    ".\n\n",
    "Remember",
    ",",
    " effective",
    " time",
    " management",
    " is",
    " about",
    " balancing",
    " work",
    " with",
    " rest",
    " and",
    " leisure",
    ",",
    " so",
    " ensure",
    " you",
    " schedule",
    " time",
    " for",
    " relaxation",
    " and",
    " h",
    "obbies",
    " to",
    " maintain",
    " a",
    " healthy",
    " work",
    "-life",
    " balance",
    ".",
    ""
  ],
  "started_at": "2024-07-04T01:14:12.885298Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://streaming-api.svc.us.c.replicate.net/v1/streams/ilhlpztibnz5dqxtqatu33vxp5sdkfmuqobxrdcezivkrmrvtoyq",
    "get": "https://api.replicate.com/v1/predictions/hjke4jdzehrgj0cgfd684mexxg",
    "cancel": "https://api.replicate.com/v1/predictions/hjke4jdzehrgj0cgfd684mexxg/cancel"
  },
  "version": "e943ac18ac8c05ac7deb01cbc3aba827b74f1ecdcb71d722e692d7ed4e70c33d"
}

Generated in

6.9 seconds

Tweak it Share Report